International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Implementing a Session Aware Policy Based Mechanism for QoS Control in LTEIJERA Editor
Quality of Service (QoS) provisioning has become significant with the widely growth of multimedia applications and high increase in the number of users in both wireless and wired networks. In this paper, we implemented a session-aware policy based mechanism for QoS provisioning and control in LTE (Long Term Evolution) networks. Policies are a set of rules identifying the QoS parameters for users. Implementation included DiffServ (Differentiated Services) configuration and setting policies inside the PCRF (Policy Charging Rules Function) which is the brain entity in LTE, then mapping from QCI (QoS Class ID) to DiffServ. Moreover, the dialogue between PCEF (Policy Charging Enforcement Function) and PCRF was implemented. Simulations on four different traffic application types: VoIP (voice over IP), video, web, and ftp (file transfer protocol) were performed under the network simulator (ns2). Results showed that applying PCEF over the different traffic applications has a great effect in controlling these applications and specifically UDP (User Datagram Protocol) based applications such as video.
In this project, we proposed a framework to support heterogenous traffic with different QoS demand in
WiMAX. This framework dynamically changes the bandwidth allocation (BA) for ongoing and new arrival
connections based on network condition and service demand. The objective is to efficiently use the
available bandwidth and provide QoS support in a fair manner. Dynamic allocation of spectrum prior to
transmission can mitigate the starvation problem of Non Real time application. The WFQ based dynamic
bandwidth allocation framework uses architecture that has packet scheduler scheme (PS), call admission
policy and a dynamic bandwidth allocation mechanism. By the simulation result we have showed that this
architecture could provide QoS support by being fair to all classes of services.
This white paper introduces the opportunity for Communication Service Providers to optimize the existing network to reduce costs, thereby freeing up cash flow for re-investment, to improve end-to-end QoE to reach network performance KPIs, and to do more with their existing asset base in order to improve utilization and performance to address explosive data growth.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Implementing a Session Aware Policy Based Mechanism for QoS Control in LTEIJERA Editor
Quality of Service (QoS) provisioning has become significant with the widely growth of multimedia applications and high increase in the number of users in both wireless and wired networks. In this paper, we implemented a session-aware policy based mechanism for QoS provisioning and control in LTE (Long Term Evolution) networks. Policies are a set of rules identifying the QoS parameters for users. Implementation included DiffServ (Differentiated Services) configuration and setting policies inside the PCRF (Policy Charging Rules Function) which is the brain entity in LTE, then mapping from QCI (QoS Class ID) to DiffServ. Moreover, the dialogue between PCEF (Policy Charging Enforcement Function) and PCRF was implemented. Simulations on four different traffic application types: VoIP (voice over IP), video, web, and ftp (file transfer protocol) were performed under the network simulator (ns2). Results showed that applying PCEF over the different traffic applications has a great effect in controlling these applications and specifically UDP (User Datagram Protocol) based applications such as video.
In this project, we proposed a framework to support heterogenous traffic with different QoS demand in
WiMAX. This framework dynamically changes the bandwidth allocation (BA) for ongoing and new arrival
connections based on network condition and service demand. The objective is to efficiently use the
available bandwidth and provide QoS support in a fair manner. Dynamic allocation of spectrum prior to
transmission can mitigate the starvation problem of Non Real time application. The WFQ based dynamic
bandwidth allocation framework uses architecture that has packet scheduler scheme (PS), call admission
policy and a dynamic bandwidth allocation mechanism. By the simulation result we have showed that this
architecture could provide QoS support by being fair to all classes of services.
This white paper introduces the opportunity for Communication Service Providers to optimize the existing network to reduce costs, thereby freeing up cash flow for re-investment, to improve end-to-end QoE to reach network performance KPIs, and to do more with their existing asset base in order to improve utilization and performance to address explosive data growth.
ANALYTIC HIERARCHY PROCESS FOR QOS EVALUATION OF MOBILE DATA NETWORKSIJCNCJournal
The widespread demand for data applications over mobile networks requires that service providers guarantee a well-defined quality of service (QoS) for subscribers. Evaluating the QoS provided by service providers within a geographical area to determine which network provides the best QoS is a challenging task. The complex nature of mobile networks with multi-criteria and conflicting factors makes good decision making difficult. This paper presents a measurement-based method called Analytic Hierarchy Process (AHP) for evaluating QoS in application-specific and user-centric data on 3G mobile networks. The evaluation problem is formulated as a multi-criteria decision problem. Latency, jitter, data loss, and throughput are the parameters collected as criteria in drive testing over the mobile network. Decision matrix is applied to solve the problem by reaching a final ranking of the network based on the collected measured values of the problem parameters. A case study of 3G mobile networks in Uyo metropolis is used to show how this approach can be effective in ranking the QoS in data applications to determine which network provides the best QoS based on users’ perception of quality. The implemented results in Java indicate that Etisalat network is the alternative that offers the best QoS for web browsing application based on measured criteria. This is followed by Airtel and then MTN, while Glo is ranked least. The result provides useful information to decision makers for performance improvement on service quality.
The delivering of both good quality of service (QoS) and Grade of Service (GoS) in any competitive mobile
communication environment is a major factor to reducing subscribers’ churn rate. Therefore, it is
important for wireless mobile network operators to ensure stability and efficiency by delivering a
consistent, reliable and high-quality end user (subscriber) satisfaction. This can only be achieve by
conducting a regular network performance monitoring and optimisation as it directly impacts the quality of
the offered services and hence user satisfaction. In this paper, we present the results of network
performance evaluation and optimisation of a GSM network on cell cluster-basis, in Asaba region, South
East Nigeria. We employ a combination of essential key performance indicators such as dropped call rate,
call setup success rate and outage call rate to examine overall QoS and GoS performance of the GSM
network. Our results after network optimisation showed significant performance improvement in terms of
call drop rate, call set up success rate, and call block rate across. Specifically, the end user satisfaction
rate has increased from 94.45%, 87.74%, and 92.85% to 99.05%, 95.38% and 99.03% respectively across
the three GSM cell clusters. The GoS is reduced from 3.33%, 6.60% and 2.38% to 0.00%, 3.70% and
0.00% respectively. Furthermore, ESA, which correspond end points service availability, has improved
from 94.44%, 93.40% and 97.62% to 100%, 96.30% and 100% respectively. In addition, the average
throughput has improved from 73.74kbits/s, 85.06kbits/s and 87.54kbits/s to 77.07kbits/s, 92.38kbits/s and
102kbits/s respectively across the three GSM cell clusters.
Mobile Number Portability completed its 8 months, investment of approximate Rs.10,000 Crore, & according to data from the telecommunications regulator, about 13 million subscribers changed their service providers until the end of June
Practical active network services within content-aware gatewaysTal Lavian Ph.D.
The Internet has seen an increase in complexity due to the introduction of new types of networking devices and services, particularly at points of discontinuity known as network edges. As the networking industry continues to add revenue generating services at network edges, there is an increasing need to provide a systematic method for dynamically introducing and providing these new services in lieu of the ad-hoc approach that is in use today. To this end we support a phased approach to "activating" the Internet and suggest that there exists an immediate need for realizing Active Networks concepts at the network edges. In this context, we present our efforts towards the development of a Content-aware Active Gateway (CAG) architecture. With the help of two practical services running on our initial prototype, built from commercial networking devices, we give a qualitative and quantitative view of the CAG potential.
Analysis of VoIP Traffic in WiMAX EnvironmentEditor IJMTER
Worldwide Interoperability for Microwave Access (WiMAX) is currently one of the
hottest technologies in wireless communication. It is a standard based on the IEEE 802.16 wireless
technology that provides a very high throughput broadband connections over long distances. In
parallel, Voice Over Internet Protocol (VoIP) is a new technology which provides access to voice
communication over internet protocol and hence it is becomes an alternative to public switched
telephone networks (PSTN) due to its capability of transmission of voice as packets over IP
networks. A lot of research has been done in analyzing the performances of VoIP traffic over
WiMAX network. In this paper we review the analysis carried out by several authors for the most
common VoIP codec’s which are G.711, G.723.1 and G.729 over a WiMAX network using various
service classes. The objective is to compare the results for different types of service classes with
respect to the QoS parameters such as throughput, average delay and average jitter.
IPTV IMPROVEMENT APPROACH OVER LTEWLAN HETEROGENEOUS NETWORKSIJCNCJournal
IPTV (Internet Protocol Television) includes several video components. The IMS (IP Multimedia
Subsystem) cannot differentiate between them what causes their treatment similarly. These sub-components
must have different priorities because they have distinct QoS constraints. In this paper, we suggest the
implementation of IPTV in a heterogeneous network that improved QoS by providing the capability to
prioritize the sub traffic according to the system administrator policy. A new IPv6 flow label field
definition was proposed that is ready for standardization. OPNET Modeler software is used to design our
approached architecture. The results show that IPTV users receive different amounts of video data based
on the stream's priority.
The second phase of lte advanced lte-b 30-fold capacity boosting to ltessk
Whitepaper by Huawei on the LTE Advanced Key work-items focusing on the seconds phase (termed as LTE-B). Document found through google search on Huawei's website
ANALYTIC HIERARCHY PROCESS FOR QOS EVALUATION OF MOBILE DATA NETWORKSIJCNCJournal
The widespread demand for data applications over mobile networks requires that service providers guarantee a well-defined quality of service (QoS) for subscribers. Evaluating the QoS provided by service providers within a geographical area to determine which network provides the best QoS is a challenging task. The complex nature of mobile networks with multi-criteria and conflicting factors makes good decision making difficult. This paper presents a measurement-based method called Analytic Hierarchy Process (AHP) for evaluating QoS in application-specific and user-centric data on 3G mobile networks. The evaluation problem is formulated as a multi-criteria decision problem. Latency, jitter, data loss, and throughput are the parameters collected as criteria in drive testing over the mobile network. Decision matrix is applied to solve the problem by reaching a final ranking of the network based on the collected measured values of the problem parameters. A case study of 3G mobile networks in Uyo metropolis is used to show how this approach can be effective in ranking the QoS in data applications to determine which network provides the best QoS based on users’ perception of quality. The implemented results in Java indicate that Etisalat network is the alternative that offers the best QoS for web browsing application based on measured criteria. This is followed by Airtel and then MTN, while Glo is ranked least. The result provides useful information to decision makers for performance improvement on service quality.
The delivering of both good quality of service (QoS) and Grade of Service (GoS) in any competitive mobile
communication environment is a major factor to reducing subscribers’ churn rate. Therefore, it is
important for wireless mobile network operators to ensure stability and efficiency by delivering a
consistent, reliable and high-quality end user (subscriber) satisfaction. This can only be achieve by
conducting a regular network performance monitoring and optimisation as it directly impacts the quality of
the offered services and hence user satisfaction. In this paper, we present the results of network
performance evaluation and optimisation of a GSM network on cell cluster-basis, in Asaba region, South
East Nigeria. We employ a combination of essential key performance indicators such as dropped call rate,
call setup success rate and outage call rate to examine overall QoS and GoS performance of the GSM
network. Our results after network optimisation showed significant performance improvement in terms of
call drop rate, call set up success rate, and call block rate across. Specifically, the end user satisfaction
rate has increased from 94.45%, 87.74%, and 92.85% to 99.05%, 95.38% and 99.03% respectively across
the three GSM cell clusters. The GoS is reduced from 3.33%, 6.60% and 2.38% to 0.00%, 3.70% and
0.00% respectively. Furthermore, ESA, which correspond end points service availability, has improved
from 94.44%, 93.40% and 97.62% to 100%, 96.30% and 100% respectively. In addition, the average
throughput has improved from 73.74kbits/s, 85.06kbits/s and 87.54kbits/s to 77.07kbits/s, 92.38kbits/s and
102kbits/s respectively across the three GSM cell clusters.
Mobile Number Portability completed its 8 months, investment of approximate Rs.10,000 Crore, & according to data from the telecommunications regulator, about 13 million subscribers changed their service providers until the end of June
Practical active network services within content-aware gatewaysTal Lavian Ph.D.
The Internet has seen an increase in complexity due to the introduction of new types of networking devices and services, particularly at points of discontinuity known as network edges. As the networking industry continues to add revenue generating services at network edges, there is an increasing need to provide a systematic method for dynamically introducing and providing these new services in lieu of the ad-hoc approach that is in use today. To this end we support a phased approach to "activating" the Internet and suggest that there exists an immediate need for realizing Active Networks concepts at the network edges. In this context, we present our efforts towards the development of a Content-aware Active Gateway (CAG) architecture. With the help of two practical services running on our initial prototype, built from commercial networking devices, we give a qualitative and quantitative view of the CAG potential.
Analysis of VoIP Traffic in WiMAX EnvironmentEditor IJMTER
Worldwide Interoperability for Microwave Access (WiMAX) is currently one of the
hottest technologies in wireless communication. It is a standard based on the IEEE 802.16 wireless
technology that provides a very high throughput broadband connections over long distances. In
parallel, Voice Over Internet Protocol (VoIP) is a new technology which provides access to voice
communication over internet protocol and hence it is becomes an alternative to public switched
telephone networks (PSTN) due to its capability of transmission of voice as packets over IP
networks. A lot of research has been done in analyzing the performances of VoIP traffic over
WiMAX network. In this paper we review the analysis carried out by several authors for the most
common VoIP codec’s which are G.711, G.723.1 and G.729 over a WiMAX network using various
service classes. The objective is to compare the results for different types of service classes with
respect to the QoS parameters such as throughput, average delay and average jitter.
IPTV IMPROVEMENT APPROACH OVER LTEWLAN HETEROGENEOUS NETWORKSIJCNCJournal
IPTV (Internet Protocol Television) includes several video components. The IMS (IP Multimedia
Subsystem) cannot differentiate between them what causes their treatment similarly. These sub-components
must have different priorities because they have distinct QoS constraints. In this paper, we suggest the
implementation of IPTV in a heterogeneous network that improved QoS by providing the capability to
prioritize the sub traffic according to the system administrator policy. A new IPv6 flow label field
definition was proposed that is ready for standardization. OPNET Modeler software is used to design our
approached architecture. The results show that IPTV users receive different amounts of video data based
on the stream's priority.
The second phase of lte advanced lte-b 30-fold capacity boosting to ltessk
Whitepaper by Huawei on the LTE Advanced Key work-items focusing on the seconds phase (termed as LTE-B). Document found through google search on Huawei's website
המדריך נכתב על ידי גיא רוה ורותי דניאל ומספק מידע מלא על נפתולי תהליך הגירושין ועל הכלים והאפשרויות העומדים לרשות ההורים המתגרשים. מאחר וידע מצמצם את אי הודאות ותורם לביטחון, המדריך מסייע לדין ודברים פחות חשדני ויותר רגוע ונינוח בין בני הזוג ויאפשר להורים להגיע לתכנית הורות שתפעל לטובת כל הצדדים ובעיקר לטובת ילדיהם.
<a>הורות משותפת = טובת הילד</a>
Implementation of Blackboard Communities at Wilmington University (Adam Voyton)Adam Voyton
The Blackboard Communities license enables powerful new features within Blackboard. Get an inside look at Wilmington University's implementation and support processes that have been developed over the last three years. Using these flexible tools, you can improve how your institution communicates with specific segments of the students, staff, and faculty. Learn how department leaders, program chairs, and club advisers have created learning communities to communicate and engage with key audiences. The project plan and usage data will be shared for a unique organization named the Online Student Association; this virtual community allows participants to network with other students, faculty, and staff in a relaxed atmosphere outside of the classroom. Lesson learned and sample communications will also be shared so your institution can get up and running with Communities fast. This session will show you how to better leverage your LMS as a customizable online portal.Speaker: Adam Voyton, Instructional Technology Project Specialist, Wilmington University
How to use Social Media in the ClassroomAdam Voyton
Learn how to incorporate social media tools into learning activities. When used properly, social media tools can boost student engagement, link students to content experts, find online classroom lessons, and help students to establish an online body of work/establish their brand.
This SlideShare provides a framework for how companies can adopt new human resources management policies and work environments which will appeal to the unique values of Generation Y. It also serves as a reminder that satisfying the unique needs of Gen Y is essential for a company to recruit and retain talented employees. Because the number of Gen Ys is almost four times the size of the number of Generation X, it is in an organization’s best interest to take heed of the implications of this study.
The important goal of this thesis is represented as demonstrating a self-organising based process for current versions of heterogeneous LTE-Advanced networks to simultaneously improve both quality of service and ability. The main index terms of this research could be exhibited as: SON; LTE-A, HetNets; Femtocell; Interference, Multi-Layer; Handover, Access Control; Power Control, eICIC. The self-organizing method of this research is described as the primary goal, to be got through the following targets: ThesisScientist.com
QOS-BASED PACKET SCHEDULING ALGORITHMS FOR HETEROGENEOUS LTEADVANCED NETWORKS...ijwmn
The number of LTE (Long-Term Evolution) users and their applications has increased significantly in the
last decade, which increased the demand on the mobile network. LTE-Advanced (LTE-A) comes with many
features that can support this increasing demand. LTE-A supports Heterogeneous Networks (HetNets)
deployment, in which it consists of a mix of macro-cells, remote radio heads, and low power nodes such as
Pico-cells, and Femto-cells. Embedding this mix of base-stations in a macro-cellular network allows for
achieving significant gains in coverage, throughput and system capacity compared to the use of macrocells only. These base-stations can operate on the same wireless channel as the macro-cellular network,
which will provide higher spatial reuse via cell splitting. Also, it allows network operators to support
higher data traffic by offloading it to smaller cells, such as Femto-cells. Hence, it enables network
operators to provide their growing number of users with the required Quality of Service (QoS) that meets
with their service demands. In-order for the network operators to make the best out of the heterogeneous
LTE-A network, they need to use QoS-based packet scheduling algorithms that can efficiently manage the
spectrum resources in the HetNets deployment. In this paper, we survey Quality of Service (QoS) based
packet scheduling algorithms that were proposed in the literature for the use of packet scheduling in
Heterogeneous LTE-A Networks. We start by explaining the concepts of QoS in LTE, heterogeneous LTE-A
networks, and how traffic is classified within a packet scheduling architecture for heterogeneous LTE-A
networks. Then, by summarising the proposed QoS-based packet scheduling algorithms in the literature for
Heterogeneous LTE-A Networks, and for Femtocells LTE-A Networks. And finally, we provide some
concluding remarks in the last section.
QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Network...ijwmn
The number of LTE (Long-Term Evolution) users and their applications has increased significantly in the last decade, which increased the demand on the mobile network. LTE-Advanced (LTE-A) comes with many features that can support this increasing demand. LTE-A supports Heterogeneous Networks (HetNets) deployment, in which it consists of a mix of macro-cells, remote radio heads, and low power nodes such as Pico-cells, and Femto-cells. Embedding this mix of base-stations in a macro-cellular network allows for achieving significant gains in coverage, throughput and system capacity compared to the use of macrocells only. These base-stations can operate on the same wireless channel as the macro-cellular network, which will provide higher spatial reuse via cell splitting. Also, it allows network operators to support higher data traffic by offloading it to smaller cells, such as Femto-cells. Hence, it enables network operators to provide their growing number of users with the required Quality of Service (QoS) that meets with their service demands. In-order for the network operators to make the best out of the heterogeneous LTE-A network, they need to use QoS-based packet scheduling algorithms that can efficiently manage the spectrum resources in the HetNets deployment. In this paper, we survey Quality of Service (QoS) based packet scheduling algorithms that were proposed in the literature for the use of packet scheduling in Heterogeneous LTE-A Networks. We start by explaining the concepts of QoS in LTE, heterogeneous LTE-A networks, and how traffic is classified within a packet scheduling architecture for heterogeneous LTE-A networks. Then, by summarising the proposed QoS-based packet scheduling algorithms in the literature for Heterogeneous LTE-A Networks, and for Femtocells LTE-A Networks. And finally, we provide some concluding remarks in the last section.
In a LTE Advanced network there are two main entities involved in communication which are Subscriber Station (SS) and a BS. A BS is typically a service provider which has backhaul connectivity and SS subscribes to the BS for the service. A BS exchange control messages and negotiate the connection parameters with SS before setting up the communication link with it. These parameters may vary during the communication depending on the requirements and availability of resources between the two entities. When a BS try to create link with a SS and if the SS is within the range then BS communicate directly with SS. Otherwise, if SS station is out of the range of the BS or there is coverage limitations or no LOS (line of sight) between the BS and SS then RS is a cost effective solution to overcome this problem. There are two approaches applied in the research towards improving the LTE Advanced network performance. Firstly the placement method should need to be determined in order to cut down the cost as well as maintain the QoS standard. The second scenario is based on the performance evaluation of WiMAX2 network using relay station with in depth analysis of how to increase throughput and reduce delay parameters to improve overall network performance. The QoS class’s comparison also will be included for network flow and its resource usage. In the course of research, various issues have been addressed by providing solutions based on selection of RS and using different modes of RS. LTE Advanced nodes are incorporated to produce useful functionalities; ThesisScientist.com
Enhancing qo s and qoe in ims enabled next generation networksgraphhoc
Managing network complexity, accommodating greater numbers of subscribers, improving coverage to support data services (e.g. email, video, and music downloads), keeping up to speed with fast-changing technology, and driving maximum value from existing networks – all while reducing CapEX and OpEX and ensuring Quality of Service (QoS) for the network and Quality of Experience (QoE) for the user. These are just some of the pressing business issues faced by mobileservice providers, summarized by the demand to “achieve more, for less.” The ultimate goal of optimization techniques at the network and application layer is to ensure End-user perceived QoS. The next generation networks (NGN), a composite environment of proven telecommunications and Internet-oriented mechanisms have become generally recognized as the telecommunications environment of the future. However, the nature of the NGN environment presents several complex issues regarding quality assurance that have not existed in the legacy environments (e.g., multi-network, multi-vendor, and multi-operator IP-based telecommunications environment, distributed intelligence, third-party provisioning, fixed-wireless and mobile access, etc.). In this Research Paper, a service aware policy-based approach to NGN quality assurance is presented, taking into account both perceptual quality of experience and technologydependant quality of service issues. The respective procedures, entities, mechanisms, and profiles are discussed. The purpose of the presented approach is in research, development, and discussion of pursuing the end-to-end controllability of the quality of the multimedia NGN-based communications in an environment that is best effort in its nature and promotes end user’s access agnosticism, service agility, and global mobility
To achieve their business
objectives, increase competitiveness, and improve end user QoE, Communication Service Providers need to achieve a level of operational excellence — a philosophy of leadership, teamwork and problem solving resulting in continuous improvement throughout the organization — in all functional areas. This requires effective integration of network transformation programs
with efforts to consolidate the previous separate worlds of IT, network operations and customer care.
Application-Based QoS Evaluation of Heterogeneous Networks csandit
Heterogeneous wireless networks expand the network capacity and coverage by leveraging the
network architecture and resources in a dynamic fashion. However, the presence of different
communication technologies makes the Quality of Service (QoS) evaluation, management, and
monitoring of these networks very challenging. Each communication technology has its own
characteristics while the applications that utilize them have their specific QoS requirements.
Although, the communication technologies have different performance assessment parameters,
the applications using these radio access networks have the same QoS requirements. As a
result, it would be easier to evaluate the QoS of the access networks and the overall network
configuration depending on the performance of applications running on them. Using such
application-based QoS evaluation approach, the heterogeneous nature of the underlying
networks and the diversity of their traffic can be adequately taken into account. In this paper,
we propose an application-based QoS evaluation approach for heterogeneous networks.
Through simulation studies, we show that this assessment approach facilitates better QoS
management and monitoring of heterogeneous network configurations.
APPLICATION-BASED QOS EVALUATION OF HETEROGENEOUS NETWORKS cscpconf
Heterogeneous wireless networks expand the network capacity and coverage by leveraging the network architecture and resources in a dynamic fashion. However, the presence of different communication technologies makes the Quality of Service (QoS) evaluation, management, and monitoring of these networks very challenging. Each communication technology has its own characteristics while the applications that utilize them have their specific QoS requirements. Although, the communication technologies have different performance assessment parameters, the applications using these radio access networks have the same QoS requirements. As a result, it would be easier to evaluate the QoS of the access networks and the overall network configuration depending on the performance of applications running on them. Using such application-based QoS evaluation approach, the heterogeneous nature of the underlying networks and the diversity of their traffic can be adequately taken into account. In this paper, we propose an application-based QoS evaluation approach for heterogeneous networks. Through simulation studies, we show that this assessment approach facilitates better QoS management and monitoring of heterogeneous network configurations.
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...1crore projects
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SDN and NFV: Transforming the Service Provider OrganizationJuniper Networks
As competition increases, service providers must be able to respond quickly to competitive pressures and rapidly evolving customer demands. Learn how NFV and SDN allows service providers to embrace a holistic approach to their business transformation and maximize existing capabilities: http://juni.pr/1JQZYOl
In this paper, an application-based QoS evaluation approach for heterogeneous networks is proposed.It is possible to expand the network capacity and coverage in a dynamic fashion by applying heterogeneous wireless network architecture. However, the Quality of Service (QoS) evaluation of this type of network architecture is very challenging due to the presence of different communication technologies. Different communication technologies have different characteristics and the applications that utilize them have unique QoS requirements. Although, the communication technologies have different performance measurement parameters, the applications using these radio access networks have the same QoS requirements. As a result, it would be easier to evaluate the QoS of the access networks and the overall network configuration based on the performance of applications running on them. Using such applicationbased QoS evaluation approach, the heterogeneous nature of the underlying networks and the diversity of their traffic can be adequately taken into account. Through simulation studies, we show that the application performance based assessment approach facilitates better QoS management and monitoring of heterogeneous network configurations.
2. QoS Interoperability and Policy Management 2
Table of Contents
Table of Contents _____________________________________________________________ 2
Executive Summary ___________________________________________________________ 3
1. Introduction _____________________________________________________________ 4
1.1. Problem Statement and Scope _________________________________________ 4
1.2. Definitions __________________________________________________________ 4
1.3. Drivers and use cases ________________________________________________ 5
1.3.1. Roaming service control____________________________________________ 5
1.3.2. Local breakout for real-time services (e.g. IMS Video Share Calling) _________ 5
1.4. Current roaming implementations ______________________________________ 6
1.4.1. GRX (Global Roaming eXchange) ____________________________________ 6
1.4.2. DiffServ (defined in GSMA IR.34)_______________________________________ 6
1.4.3. IPX (IP eXchange) ________________________________________________ 7
1.5. QoS architecture: interfaces and protocols _______________________________ 7
1.5.1. Standardized QoS Radio Access capabilities ___________________________ 7
2. Policy and QoS standards work_____________________________________________ 9
3. Technical considerations _________________________________________________ 10
3.1. Policy architecture __________________________________________________ 10
3.1.1. Policy management framework (PMF) ________________________________ 10
3.1.2. Design principles and architecture ___________________________________ 10
3.1.3. Policy exchange between operator domains _____________________________ 11
3.1.4. 3GPP Release 7 standard interfaces and protocols _____________________ 12
3.2. IPv6 Impacts on QoS/Policy Control____________________________________ 14
3.3. Radio QoS considerations ____________________________________________ 15
3.3.1. Multi-RAB ______________________________________________________ 18
3.3.2. RAB Combinations _______________________________________________ 19
3.3.3. Traffic Handling Priority (THP) ________________________________________ 21
3.3.4. RAB Modifier Process ____________________________________________ 22
3.3.5. Radio Network Admission and Congestion Control ______________________ 22
3.3.6. Complex QoS / QoS Aware Devices _________________________________ 24
3.3.7. Simple QoS ____________________________________________________ 25
3.3.8. QOS / Multiple APN support in Devices – overall analysis ________________ 25
3.4. Policy enabled charging for Roamers __________________________________ 25
4. Summary_______________________________________________________________ 26
5. Acknowledgements ______________________________________________________ 26
6. Acronym/Glossary _______________________________________________________ 27
7. References _____________________________________________________________ 29
3. QoS Interoperability and Policy Management 3
Executive Summary
As mobile networks race toward converged 3G networks, demands for converged services and
service roaming will intensify. Both involve providing services across network boundaries. It is
currently very challenging to provide such services for two main reasons. The first is that
networks have not been fully converged. The second is that even if all networks are totally IP-
based, each operator has to have full control of its own network, thus making it extremely difficult,
if not impossible, to control end-to-end traffic quality. Regarding roaming, all mobile data traffic is
now backhauled to the home network and there are few standard mechanisms and practices to
provide end-to-end services between networks. This white paper outlines and recommends a
policy-based mechanism for exchange service and network information such as QoS (Quality of
Service) for providing end-to-end and real-time services.
Policy management framework (PMF) is a key underlying technology for roaming service and
QoS control. In this paper, we introduce a policy management framework based on 3GPP Rel-7
policy and charging control (PCC) architecture, as well as some basic concepts concerning policy
management and QoS. This paper also briefly covers standardization progress in various
standards forums. As of this writing, there are definitions still to be made in order to harmonize
the policy functions and interfaces between different standards. The recommendation of this
paper is to use the PMF to provide a platform for managing QoS and other network parameters
between roaming partners.
Quality of Service has been defined in many different ways with different requirements. This
paper refers to QoS in terms of 3GPP Release 99’s definition in which four traffic classes are
defined: conversational, streaming, interactive and background. The paper provides extensive
discussion on QoS concept and practices in the radio network such as Multi-RAB (Radio Access
Bearer), RAB combination, traffic handling priority (THP), radio network admission, and
congestion controls. Roaming-related QoS mechanisms such as GRX (Global Roaming
eXchange) and IPX (IP eXchange) are also introduced.
While it is recognized that each operator can choose to follow the recommendations in ways that
meet their own business requirements and network conditions, 3G Americas recommends the
following actions for service providers:
Recommendation 1: Mobile service providers shall deploy a policy management framework
based on 3GPP Rel-7 PCC architecture for subscriber services and network resources control.
Recommendation 2: Mobile service providers should use the policy management framework as a
standard mechanism to exchange policies related to end-to-end services between mobile
operators. Although more technical details of this policy-based mechanism still need to be defined
at the operational level, these recommendations are reflective of this working group’s desire to
have a standard and deployable mechanism for roaming services.
Recommendation 3: Mobile service providers should establish a minimum set of QoS feature
parity in the Packet Core and Transport network based on 3GPP Rel-7 Policy Charging Control in
order to support policy management, QoS and charging functions. A minimum set of QoS
parameters should provide the basic parameters for policy exchange in real-time roaming
services.
Recommendation 4: Mobile service providers should establish a minimum set of QoS feature
parity in the Radio Access Network in order to support real-time/time-sensitive services such as
VideoShare and VoIP.
4. QoS Interoperability and Policy Management 4
1. Introduction
Traditionally, policy management has been mainly focused on network management. In
recent years, however, policy management has been gaining increasing importance in the
telecom network for managing and controlling services as wireless networks migrate towards
an all-IP environment. There are two sets of service management issues that operators face:
the first is how to manage IP-based services in an all-IP environment, and the second is how
to manage end-to-end services that traverse across different network domains. This white
paper will evaluate and recommend solutions with regard to the latter issue of how to policy
enable QoS interoperability across operator domains to offer “home-like” services for
roamers.
1.1. Problem Statement and Scope
Intense competition in the telecom market has put a premium on converged services.
This creates a great need to provide services across network boundaries (such as fixed
and mobile convergence applications). However, it is very challenging to provide such
services for two main reasons: first, networks have not been fully converged. Second,
even if all networks are totally IP-based, each operator has to have full control of its
own network thus making it extremely difficult, if not impossible, to control end-to-end
traffic quality.
Another aspect of this convergence story is roaming. It involves not only user plane
traffic routing, but also services that people need to use when they roam. Currently,
most of the services used by subscribers are routed back to the home network, and
there is no mechanism in commercial use for the roamer to be provided services using
the visited network while maintaining his/her service continuity. In addition, a
mechanism to exchange QoS and policy information is needed, and that is the subject
of this white paper.
In this paper, we assume a policy management framework has been deployed in each
domain of networks and policies can be negotiated between the home and the visited
network based on Service Level Agreements (SLAs).
1.2. Definitions
Policy is a very generic and widely interpreted word with many different definitions and
meanings. In this paper, we define policies as a set of rules that a network operator can
define and enforce in a telecom network. These policies can be exchanged and applied
both within an operator domain and across different operator domains. There are three
logical elements in a policy framework: a policy decision element (PDP in IETF
terminology and PCRF in 3GPP Release 7), a central policy repository and policy
enforcement elements (PEP in IETF and PCEF in 3GPP).
3GPP defined E2E QoS in 3GPP R99. Quality of Service is defined by four classes:
Conversational, Streaming, Interactive and Background. For more information, see
3GPP TS23.107.
5. QoS Interoperability and Policy Management 5
Destination is not
expecting the data
within a certain
time
Preserve payload
content.
Request
response
pattern
Preserve
payload
content
Preserve time
(variation)
between
entities of the
stream
Preserve time
relation
(variation)
between entities
of the stream
Conversational
pattern
Fundamental
characteristics
Web browsing
Interactive
Class
Best Effort
Background
download of
emails.
Steaming
video
VoiceExample
Application
Background
Class
Best Effort
Streaming
Class
Real-Time
Conversational
Class
Real-Time
Traffic Class
Destination is not
expecting the data
within a certain
time
Preserve payload
content.
Request
response
pattern
Preserve
payload
content
Preserve time
(variation)
between
entities of the
stream
Preserve time
relation
(variation)
between entities
of the stream
Conversational
pattern
Fundamental
characteristics
Web browsing
Interactive
Class
Best Effort
Background
download of
emails.
Steaming
video
VoiceExample
Application
Background
Class
Best Effort
Streaming
Class
Real-Time
Conversational
Class
Real-Time
Traffic Class
Table 1: Traffic Class Characteristics
Examples of use cases:
Conversational traffic class
o VoIP call
o Video call
o Multimedia gaming
Streaming traffic class
o Streaming video
o Audio Streaming
Interactive traffic class
o Web browsing
o Interactive gaming
o Instant messaging
Background traffic class
o Downloading of e-mails
o FTP download
1.3. Drivers and use cases
1.3.1. Roaming service control
One of the most challenging issues in the telecom network is roaming. It involves
not only user plane traffic routing, but also services that subscribers need to use
when they roam. Currently, most of the services get routed back to the home
network and there is no mechanism for roamers to get services using a visited
network while maintaining their service continuity.
1.3.2. Local breakout for real-time services (e.g. IMS Video Share Calling)
Although current PCC (Policy and Charging Control) specification does not
clearly define the architecture for local breakout, 3G Americas considers this
functionality to be very important for services over IP-converged networks. A
PCRF to PCRF (Policy and Charging Rules Function) communication is
desirable between the visited and home network to provide home network
service policies while the user is roaming and the services are being delivered
via a local breakout.
6. QoS Interoperability and Policy Management 6
1.4. Current roaming implementations
1.4.1. GRX (Global Roaming eXchange)
The GPRS Roaming Exchange (GRX) was created as a platform for enabling
mobile data roaming.
GRX networks have evolved from purely the exchange 2.5G and 3G packet
switched roaming services to additionally facilitate inter-working of MMS. In the
GRX model the operator can replace the need for multiple connections, with
other operators, with a single (or few) logical connections to a GRX.
GRX networks interconnect with other GRX networks to form a Global Roaming
Network for mobile data roaming.
The roaming model for GPRS is to route traffic from the visited SGSN (Serving
GPRS Support Node) to the home GGSN (Gateway GPRS Support Node)
across the GRX network. Therefore, a subscriber will egress his or her service
provider’s GGSN when roaming. This backhauling mechanism across the GRX
can introduce latency and jitter.
1.4.2. DiffServ (defined in GSMA IR.34)
In order to address the latency and jitter introduced by the GRX, the GSM
Association (GSMA) developed a mapping between 3GPP QoS/CoS and
DiffServ Control Points (DSCP). This mapping was defined in GSMA document
IREG 34 (IR.34).
BE
000000
AF3
011010
AF4
100010
EF
10110
DiffServ
PHB
email0.1%--400 msBackground
browsing0.1%--250 -
350 ms
Interactive
audio
video
streaming
0.5%5 ms40 msStreaming
VoIP0.5%5 ms20 msConversational
Service
example
Packet
loss
Max
Jitter
Max
Delay
Traffic Class
BE
000000
AF3
011010
AF4
100010
EF
10110
DiffServ
PHB
email0.1%--400 msBackground
browsing0.1%--250 -
350 ms
Interactive
audio
video
streaming
0.5%5 ms40 msStreaming
VoIP0.5%5 ms20 msConversational
Service
example
Packet
loss
Max
Jitter
Max
Delay
Traffic Class
Table 2: Performance of the four classes of Traffic Classes
Even though real-time classes are defined in IR.34, backhauling real-time
services back to the home network is not very efficient and not recommended.
To this end, the standards are moving toward local-breakout architectures
allowing the user plane and control plane to be routed across the optimal route
and egress the visited network much like it does today in the circuit switched
architecture.
7. QoS Interoperability and Policy Management 7
1.4.3. IPX (IP eXchange)
In order to facilitate IMS (IP Multimedia Subsystem) roaming, the GRX is
evolving into the IP eXchange (IPX). IPX will support secure control plane traffic
– SIP/SDP (Session Initiation Protocol/Service Delivery Platform) as well as the
QoS enabled user plane – RTP (Real Time Transport Protocol).
GPRS Roaming Exchange IPI Framework
Figure 1: The Evolution of the GRX Model to the IPX Model
The IPX provides interconnection between different Service Providers - i.e.
mobile and fixed operators, other service providers such as ISPs (Internet
Service Providers), ASPs (Application Service Providers), and later possibly
Content Providers and other stakeholders - in a scaleable and secure way with
special focus on guaranteed QoS.
IPX Providers manage the exchange of traffic and associated basic control
information. The IPX Provider can offer both technical and commercial
interconnect capability via a single agreement with the Service Provider.
One mechanism is to use SIP to convey QoS information. One can also leverage
subscriber profile for QoS information exchange. The goal would be to use policy
management mechanism to exchange QoS and other service policy information
as we suggested in this paper. The detailed mechanisms will require further
studies and possible standardizations, and are currently beyond the scope of this
white paper.
1.5. QoS architecture: interfaces and protocols
1.5.1. Standardized QoS Radio Access capabilities
Currently, there are four QoS classes defined in 3GPP for a UMTS/HSPA
network. These are:
Conversational Class
Streaming Class
Interactive Class
Background Class
The main distinguishing factor between these classes is their sensitivity to delay.
8. QoS Interoperability and Policy Management 8
Conversational class is intended for real-time traffic, which is very delay-
sensitive but can stand bit errors and packet losses. Good examples of where
Conversational class should be used are voice and video telephony. The
services allow speech and video codecs to conceal errors. The short delay is the
most essential feature for the users (human) of the service.
Streaming class is very similar to the conversational class with the exception
that more delay is tolerated. The increased delay provides larger variety of
means for achieving lower error rate. Streaming class is suitable for the case
where one end of the connection is human and the other is a machine.
Interactive class is intended for the traffic, which allows delay variation while
requiring reasonably low response time. An example of Interactive class would
be Web browsing, where the channel can be unused for long periods of time, but
when a user makes a request for a new page, the response time should be
reasonably low. Due to less stringent delay requirements, the error rates can be
improved by having better channel coding and applying retransmissions.
Background class is a class described by its name. It will get service with
lowest priority when there are resources to be utilized. Background class is a
cheap and suitable for applications such as email.
These QoS classes are used for UMTS bearer services and the Radio Access
Bearer (RAB) services.
Traffic class Conversational
class
Conversational RT
Streaming class
Streaming RT
Interactive class
Interactive best
effort
Background
Background
best effort
Fundamental
characteristics
-Preserve time
relation (variation)
between information
entities of the stream
Conversational
pattern (stringent and
low delay )
- Bandwidth
guaranteed
-Preserve time
relation (variation)
between
information entities
of the stream
- Bandwidth
guaranteed
- One way transport
to downlink
direction
-Request response
pattern
-Preserve payload
content
-Destination is
not expecting the
data within a
certain time
-Preserve
payload content
Example of the
application
-voice -streaming video -Web browsing -background
download of
emails
Table 3: Traffic Class characteristics and applications
1.5.2. Requirements for supporting QoS for Real-Time Services
There are three key capabilities in order to support QoS for real-time services: 1)
multi-RAB support, 2) Secondary PDP context support, 3) real-time RABS (e.g.
streaming and conversational), and 4) QoS control via 3GPP Rel-7 Policy Control
Framework.
1.5.2.1. Multi-RAB support
To support real-time Radio Access Bearers (RABs), a carrier must support
multi-RAB. Multi-RAB support is the capability for a User Equipment /
Terminal to establish more than one PDP (Policy Decision Point) context
9. QoS Interoperability and Policy Management 9
simultaneously. Each PDP context maps to a single RAB; therefore, to
support more than one PDP context, multiple RABS must be supported.
Section 3.3 goes into more detail from a radio perspective.
1.5.2.2. Secondary PDP context support
3GPP supports two categories of PDP contexts: 1) primary and 2)
secondary PDP contexts. It is the position of this paper that real-time
RABS should be supported via secondary PDP contexts. One example of
how real-time RABS may be deployed is Video Share service. In this
example, a primary PDP context is established at UE power-on. The UE’s
IMS client is assigned an IP address and registers with IMS. This primary
PDP context is always on and connected. However, when a user wants to
establish a video share, the UE will signal the IMS to establish a bearer to
another UE via SIP. The attributes of the bearer will be negotiated and the
UE will establish a secondary PDP context mapped to the appropriate real-
time RAB. In this example, the streaming RAB would be invoked for the
duration of the session. Figure 6 provides a diagram of this use case.
1.5.2.3. Real-time RAB support
3GPP defines real-time RABs as streaming and conversational. Interactive
RABS are defined as interactive and background. In order to support real-
time services with deterministic quality, real-time RABs should be
developed.
1.5.2.4. Policy Management Framework
Lastly, in order to support real-time services and manage the QoS, the
packet core gateway node must be upgraded to support dynamic QoS
control based on 3GPP Rel-7 PCC. This capability includes policy and
charging enforcement and decision making. The PCC provides the
mechanisms to grant QoS and gate the flow. Just as importantly, the PCC
also provides the mechanisms to release the resources when the real-time
flow is complete. The packet core gateway will evolve to support Policy
Charging Enforcement Function. This is a key enabler which interfaces into
the larger Policy Management Framework via Gx diameter.
2. Policy and QoS standards work
2.1.1. 3GPP
There are four predominant standards bodies currently working on standards
relevant to the policy framework architecture.
ITU-T - Standards support both wireless and wire line technologies.
3GPP - Standards support wireless related access technologies, notably
UMTS.
3GPP2 - Standards support wireless related access technologies,
notably CDMA.
TISPAN - Standards support wire line broadband access related
technologies, notably DSL.
In addition to these, the IETF has had a significant influence on these standards,
especially related to the Diameter protocol.
The 3GPP standards organization has defined Policy Charging Control (PCC)
architecture in 3GPP Rel-7, which specifies service based local policy and Flow
based charging functionality into one merged model called PCC. This model
provides more efficient real-time control of the service flows in the gateways.
10. QoS Interoperability and Policy Management 10
PCC architecture is built on the work achieved in 3GPP Release 6 on flow-based
charging, which includes how policy can be provided with the 3GPP Release 6
FBC reference points (Gx, Gy, and Rx) in the context of multiple service data
flows on one single bearer.
3GPP PCC technical specification (TS 23.203) has been base-lined. In addition,
the interfaces involved with the charging rules function and charging coordination
has been base-lined in 3GPP which involves combining the interfaces for
charging (FBC), bearer control, and QoS authorization into a single pair of
interfaces. The functionality provided by 3GPP is also being looked at by ITU-T
in their work on Next Generation Networks.
2.1.2. Harmonization of Policy and Enforcement with other standards bodies
Standards specifications from various standards bodies are at varying stages of
completion. ITU-T, DSL Forum, and TISPAN all have related policy function
specifications with different degrees of maturity. It is outside of the scope of this
paper to discuss details of these specifications in progress and it is expected that
in the future, these specifications from different standard bodies will be
harmonized based on the IETF model.
3. Technical considerations
3.1.Policy architecture
3.1.1. Policy Management Framework (PMF)
In order to be able to manage both network and services, a centralized policy
management framework is recommended to be deployed within each operator
domain. The PMF will provide a platform for centrally management all policies
not only related to network management, but also services that ride on these
network resources. The general requirement of this policy management
framework is that it shall manage policies in a unified and consistent manner so
that a network operator has the ability to provision, validate, and correlate
policies in a centralized framework, which will improve efficiency (one
mechanism to provide policies) and consistency (to reduce duplication and
conflicts). Furthermore, the PMF will be an independent horizontal enabler
providing ubiquitous services for all future services that will need policy control
and management functions. It will support service and network management and
control within an operator’s network. It will also be the policy framework to
support roaming and in wireless/wireline/Internet three-way convergence
scenarios.
PMF will support many different types of services across a broad service
spectrum. Examples of these service types could be:
Integrate services (e.g. voice and data services)
Presence and Location
Instant Messaging / Chat
VoIP
Convergence (e.g. service across different types of networks).
3.1.2. Design principles and architecture
The design of a PMF has to consider the operating environment for a mobile
operator in terms of the new services that will be enabled by the deployment of
3G network. We also have to be mindful of the current deployed systems and
how to optimize network resources. The following architectural principles and
11. QoS Interoperability and Policy Management 11
design guidelines were recently developed and are now recommended by 3G
Americas:
The PMF should be a unified and independent network enabler.
The PMF shall be access technologies agnostic.
The PMF shall support SLA (Service Level Agreement) management.
The PMF shall support both IP and non-IP flow based services.
The PMF shall support an interface with a PMF in other operator
domains.
The PDP (Policy Decision Point) and PEP (Policy Enforcement Point)
functions should be separated so the PDP function can be centralized.
This separation will also allow for a centralized policy repository.
Flexibility is highly desirable for the PMF system to be interoperable
with various enforcement elements.
Any middle elements between PDP and PEP should be avoided. If
possible, collapse functions into single logical elements to avoid
unnecessary signaling between functional elements.
The system must support policy-based content filtering and other
application-level policy control.
The PMF system shall support policy decisions based on both
subscription and dynamic service policies (such as location, device
type, user presence, and time of the day).
The PMF shall be able to handle charging rules and interact with
charging functions, specifically:
1. The PMF shall support charging control (FBC) and QoS
control (SBLP - Service Based Local Policy) independently
for a PDN (Process Data Network) access.
2. PMF shall support various charging models such as volume
based charging, time based charging, volume and time
based charging, and event based charging.
3. The PMF policy interface shall support flow based charging
to provide the ability to do differential accounting/charging for
traffic flows belonging to different services.
The PMF policy interface shall support both push-and-pull based
model for policy authorization.
The PMF shall be able to manage both network security and data
service security.
The PMF shall provide migration mechanisms for converging the
localized policy function into this centralized management framework.
3.1.3. Policy exchange between operator domains
Policy management has become one of the best tools in managing converged
services because the policies that control resources can be negotiated and
exchanged.
There are three main scenarios in deploying converged services:
1. Backhaul all services to home network and use PSTN (Public Switched
Telephone Network) for voice interconnects. This is the current situation for
inter-domain communication such as roaming and converged services.
2. Use IMS: the service parameters (such as QoS) are exchanged using a SDP
(Service Delivery Platform).
12. QoS Interoperability and Policy Management 12
3. Use a PMF to exchange service polices between the home network and
visited network. 3G Americas recommends defining an interface to link PMFs
between operators’ networks and use the PMF to exchange policies such as
QoS parameters to provide end-to-end services. It is further recommended
that local policies will take precedence if there are conflicts between home
policies and visited policies that are being exchanged.
3.1.4. 3GPP Release 7 standard interfaces and protocols
3GPP Release 7 combined policy and charging functions and specified a policy
and charging control mechanism for mobile networks. It is an all-IP flow-based
mechanism based on policy rules (filters). Policy, as it relates to PCC (Policy
and Charging Control), describes the set of rules that a network may apply when
authorizing the use of network resources or how users are charged for those
network resources. If the user is roaming, the serving network may apply local
policy to the set of application authorized resources. This may restrict the allowed
set of resources compared to those authorized by the application function (AF).
Because the serving network knows nothing about the resource requirements of
the requesting application in the user endpoint, granting fewer resources than
requested by an application may result in unacceptable application performance.
If requested resources are not allowed by the local serving network policy, the
result should be a denial of service to the application.
GW
Online Charging System (OCS)
Service Data Flow
Based
Credit Control
Policy and Charging
Rules Function
(PCRF)
CAMEL
SCP
Gy
Rx
AF
Gz
Gx
Subscription Profile
Repository
(SPR)
Sp
Offline
Charging
System
(OFCS)
PCEF
Figure 2: 3GPP PCC logical architecture
There are two functional elements related to PCC policy. The first piece is the
policy decision point (PDP). The policy decision point maintains the rules for
network operations for the segment of the network for which it has responsibility.
The PDP will filter resource requests against the policy rules and make decisions
about network operations. For example, a network may have a policy that no
13. QoS Interoperability and Policy Management 13
user may use more than 20 Kbps during peak voice call hours of 4 PM to 6 PM.
A user may be allowed to use 100 Kbps via their home network subscription.
When the user makes a request for 100 Kbps resources in the serving network,
the Authorizing Application will authorize the requested bandwidth. However, the
policy decision function will filter this authorization against the current policy and
deny the resource request. If the application requires 100 Kbps per second to
function correctly, the session should be denied based on current local policy
rules.
The policy decision is sent to a policy enforcement point (PEP). In the PCC
architecture, the traffic plane function is the PEP. It is responsible for enforcing
the decisions of the PDP, and in the previous example, it would be responsible
for notifying the application in the endpoint of service denial.
Policy control comprises functionalities for:
Gating control, i.e. the blocking or allowing of packets, belonging to a
service data flow, to pass through to the desired endpoint,
Event reporting, i.e. the notification of and reaction to application
events to trigger new behavior in the user plane as well as the
reporting of events related to the resources in the GW,
QoS control, i.e. the authorization and enforcement of the maximum
QoS that is authorized for a service data flow or an IP-CAN (IP-
Connectivity Access Network) bearer.
In case of an aggregation of multiple service data flows (e.g. for GPRS, a PDP
context), the combination of the authorized QoS information of the individual
service data flows is provided as the authorized QoS for this aggregate. The
enforcement of the authorized QoS of the IP-CAN bearer may lead to a
downgrading of the requested bearer QoS by the GW as part of IP-CAN bearer
establishment or modification. If the Policy and Charging Rules Function (PCRF)
provides authorized QoS for both, the IP-CAN bearer and PCC rule(s), the
enforcement of authorized QoS of the individual PCC rules shall take place first.
QoS authorization information may be dynamically provisioned by the PCRF or
predefined as a default policy in the GW. In case the PCRF provides PCC rules
dynamically, authorized QoS information for the IP-CAN bearer (combined QoS)
may be provided. For predefined PCC rules within the PCEF, the authorized QoS
information shall take affect when the PCC rule is activated. The GW shall
combine the different sets of authorized QoS information, i.e. the information
received from the PCRF and the information corresponding to the predefined
PCC rules.
For policy control, the AF interacts with the PCRF and the PCRF interacts with
the GW as instructed by the AF. For certain events related to policy control, the
AF shall be able to provide instructions to the PCRF to act on its own, i.e. based
on the service information currently available. The following events are subject to
instructions from the AF:
The authorization of the IP-CAN session modification
The revoke of authorization
The gate control
The forwarding of IP-CAN bearer events
14. QoS Interoperability and Policy Management 14
Reference points for the 3GPP Rel-7 PCC architecture utilize and enhance the
interfaces used in 3GPP Release 6 FBC. In 3GPP Rel-7, the following interfaces
are defined:
Rx between PCRF and AF
Gx between GW and PCRF
Gy between GW and OCS
Sp between SPR and PCRF
Gz between PCEF and OFCS
Rx: In Rel-6 (3GPP Release 6) Rx interface is defined between CRF and AF, so
Rx in Rel-7 is a single reference point between AF and PCRF which will allow for
all Rel-6 capabilities of the Gq and Rx reference points plus all identified
enhancements of Rel-7, which will be backward compatible with Rel-6. For
example, Rel-7 PCRF can support interacting with Rel-6 AFs and Rel-7 (3GPP
Rel-7) AFs can support interacting with a Rel-6 PDF and/or Rel-6 CRF. The
Rel-7 Rx reference point is realized by combining relevant parts of Rx and Gq
reference points within a single protocol as most of the information transferred
between the AF and the CRF/PDF are common.
Gx: Rel-7 Gx is introduced to evolve the charging rules defined in Rel-6 to
support gating functionality. The Rel-6 Gx reference point enables the use of
service data flow-based charging rules such as counting the number of packets
belonging to a rate category in the IP-Connectivity network. This functionality is
required for both offline and online charging. In Rel-5 and Rel-6, the Go
reference point enables service-based local policy (SBLP) and QoS interworking
information to be transferred from PDF to PEP. But in this architecture, the Go
reference point can be realized together with the Gx reference point with a single
protocol, using a single message sequence to communicate both SBLP
decisions and charging rules. The Gx reference point lies between the GW and
PCRF.
Sp: The Sp reference point lies between the SPR and the PCRF. The Sp
reference point allows the PCRF to request subscription information related to
the IP-CAN transport level policies from the SPR based on a subscriber ID and
possible further IP-CAN session attributes.
Gy: The Gy reference point resides between the OCS and the PCEF.
The Gy reference point allows online credit control for service data flow-based
charging. The functionalities required across the Gy reference point use existing
functionalities and mechanisms, based on RFC 4006.
Gz: Gz reference point resides between the PCEF and the OFCS. The Gz
reference point enables transport of service data flow based offline charging
information.
Diameter is the chosen protocol that is used across the above mentioned
interfaces in the 3GPP PCC framework.
3.2. IPv6 Impacts on QoS/Policy Control
IPv4 and IPv6 dual stack devices and packet core networks are expected to be
deployed by operators during the same timeframe that QoS/Policy is rolled out. One
of many main drivers for IPv6 deployment is the inevitable depletion of IPv4 address
space by the IANA (Internet Assigned Numbers Authority) and RIR’s (Regional
Internet Registry e.g. ARIN, American Registry for Internet Numbers) as soon as
2009/10. Therefore, understanding the impact of dual stack IPv4/IPv6 is critical. For
15. QoS Interoperability and Policy Management 15
example, during the transition to IPv6, multiple primary PDP contexts may be
required to support IPv4 and IPv6 flows. The effect of multiple primary PDP contexts
being used simultaneously decreases the capability to support real-time services via
secondary PDP contexts.
The principle architectural recommendation is to support IPv6 while in the home
network for all services. When roaming, the preference should be IPv6 first with a
fallback to IPv4.
3.3. Radio QoS considerations
Radio resource management plays a vital role in the end-to-end wireless Quality of
Services (QoS) delivery. A sophisticated radio resource management function with a
QoS aware, policy driven radio access bearer (RAB) not only can increase the
wireless capacity distribution efficiencies, but also can provide better user
experiences.
As in Figure 3 below, wireless QoS consists of 5 layers of QoS scheme each
performing its specific functions:
1. End-to-end (E2E) QoS: The end-to-end QoS on the application level uses
the bearer services of the underling networks.
2. UMTS QoS: QoS carried out on the UMTS bearers that UMTS operators
offer to the end user. UMTS QoS consists of two sections of network QoS,
Radio Access Bearer QoS and Core Network QoS.
3. Radio Access Bearer QoS: RAB QoS enables differentiated transport
bearers to ensure priority delivery of applications.
4. Radio Bearer QoS: RB QoS carries out the function of radio physical layer
resource management and resource distributions that takes RAB QoS
attributes as the priority scheduling inputs.
5. Iu (Interface unit) QoS: Iu connects the UMTS core network gateway with the
edge node to provide the contracted UMTS bearer services. Next generation
Ethernet based Iu interface will have its own QoS which can be mapped into
RB QoS as well.
16. QoS Interoperability and Policy Management 16
Figure 3: Three segments of Wireless QoS
Because of the radio link’s dynamic nature, many factors shall be considered by radio
resource management function besides QoS at the IP layer.
As in Figure 4 below, the radio resource management function performs capacity
management functions and priority delivery based on the following parameters:
QoS attributes
Radio conditions such as:
o Radio power amplifier power margin
o Code channel availability
o Traffic load
o Signal strength and interferences
In the future, RAN policy rules.
The objective of the RAN resource management in the normal operating conditions is
to maximize the air interface capacity and the cell’s overall throughputs while
maintaining quality of service delivery for high priority application delivery.
In the emergency operating condition, RAN management shall ensure the critical
application delivery such as E911 calls and data sessions while maintaining normal
traffic only when capacity allows.
RAN resource management shall also support following QoS driven definitions:
Provide a finite set of QoS definitions, as in Figure 3
Map between application requirements and HSDPA classes with a GGSN
Be compatible with current QoS schemes
Support SIP session based QoS and allow multiple QoS data streams per IP
address
Manage QoS and radio resources to yield efficient capacity utilization
TE MT RNC SGSN GGSN TE
End-to-end Service
UMTS Bearer Service
Radio Access Bearer Service
Radio Bearer
Service
Iu DS bearer
Service
CN DS bearer
Service
UTRA FDD/TDD
Service
Iu ATM Bearer
Service
Backbone Bearer
IP Service
Note: Can be over
Ethernet, ATM,
SONET etc.
ATM Service
Local Bearer
Service
External Bearer
Service
Classification of User traffic
Fragment into
ATM cells
Mapped into
Radio
Link
ATM Traffic
Management
Proper PHB
Radio resource
management
Core Bearer
Service
E2E QoS
UMTS QoS
RAB QoS
RB QoS
Iu QoS
UTRAN QoS
17. QoS Interoperability and Policy Management 17
Modify QoS attributes during the active session.
Figure 4: RAN Resource Management and QoS
HHSSPPAA RRAANN
RRBBSS
QoS Driven
Packet
QoS Function
Transport
RRNNCC
Radio
Resource QoS
QoS Function
Transport
IP/MPLS Core
RAN Inputs
• Maximum Bit Rate
• Guaranteed Bit Rate
• Traffic Class
• Delivery Order
• Max SDU Size
• SDU Format Info
• SDU Error Ratio
• Residual Bit Error Ratio
• Delivery of erroneous SDU
• Transfer Delay
Circuit Switch Core
VL
RBS Scheduler
Inputs:
• SPI
• Discard Timer
• Guaranteed Bit Rate
RBS Scheduler
Feedback:
• Required Power
RBS Scheduler
Inputs from Uu
Interface
• RF Power Margin
• Ul/DL ASE
• Load Control
• Overload Control
• Code Channel Availability
• Singal Strength
• Noise Level
Uu
Iub
Iu
18. QoS Interoperability and Policy Management 18
Table 4: Four QoS classes
3.3.1. Multi-RAB
Radio access bearers (RABs) are specific data flow conduits that identify the service
the AS (Access Stratum) provides to the NAS (Non Access Stratum) for transfer of
user data between the UE (User Equipment) and the CN (Core Network). In UMTS,
there is a one-to-one mapping of RABs to PDPs. So multi-RAB capability gives the
possibility to have two or more simultaneous RABs to support simultaneous
communication over the radio access network with multiple service access points.
Both Rel ‘99 and HSDPA multi-RABs are described in 3GPP TS 34.108 and 3GPP
TR 25.993. The RAB combinations have been planned with an associated 3.4 Kbps
SRB (Signaling Radio Bearer).
For Rel ‘99 multi-RABs, the radio bearers are multiplexed on MAC-d level into one
single dedicated transport channel (DCH), with a maximum rate of 8, 16, 64, 128 or
384 Kbps for both downlink and uplink. The maximum bit rate is shared by the two
RABs, meaning the sum of the instantaneous bit rates on the bearers transmitted in a
TTI (Transmission Time Interval) is less than or equal to the maximum bit rate on the
DCH. The transport channel is shared, and also has lower transport formats in order
to adapt to lower data rates when there is less data to transmit.
Multi-PS RAB are required to support radio QoS. For HSDPA Multi-RABs, there is no
multiplexing on the MAC-d level for the downlink. Instead, the radio bearers are
carried as different MAC-d flows down to the RBS, where the data is put into
separate priority queues for scheduling on the HS-DSCH (Downlink Shared Channel
used in HSDPA). The available HS-DSCH bandwidth is shared between the various
flows. The uplink radio bearers will continue to be Rel ‘99, and follow the mapping
described previously.
In addition, support of real-time services will be realized with the introduction of
streaming, guaranteeing bit rate radio access bearers on HSDPA. UTRAN (UMTS
Terrestial Radio Access Network) does not differentiate between primary and
19. QoS Interoperability and Policy Management 19
secondary PDPs (Policy Decision Point), and the RAB combinations can be catering
to either all primaries or a combination of primary and secondary PDPs, depending
on the end-to-end service definition.
All the multi-RAB combinations are realized according to the typical radio parameter
sets described for the UL and DL radio bearers in 3GPP TS 34.108 and 3GPP TR
25.993. Each PS RAB typically has a separate user activity supervision algorithm,
whereby channel switching occurs.
3.3.2. RAB combinations
RAB Combination allows the radio bearer management to combine different classes
of PDP context to provide different services simultaneously, e.g. VoIP and video
streaming. Specific RAB combinations will be too many to list. Following are
examples of RAB combination types:
Up to 3 HSDPA PDPs with I/B QoS (DCH Upstream) + CS 12.2K AMR Voice
Up to 3 DCH/DCH UL/DL PDPs with I/B QoS + CS 12.2K AMR Voice
Up to 2 PDP with I/B QoS + 1 PDP with Streaming QOS (DCH/HS-DSCH) +
CS 12.2K AMR Voice
Note 1: Typical streaming rates supported on HSDPA DL and R99 DCH UL will be
16, 32, 64 and 128kbps.
Note 2: R99 DCH I/B QoS RABs will support all combinations of 8, 16, 64, 128 and
384 kbps speeds on UL and DL.
3.3.2.1. APN Provisioning and RAB limitations
Use of specific APNs (Access Point Name) for providing specific packet
data services on UMTS leads to a profusion of multi-RAB combinations.
Some of these are in support of always-on applications, which typically
have a high heartbeat frequency, while some are not. This arrangement
leads to complicated testing requirements and user service experience
incompatibility while roaming. A separate APN strategy also results in a
large number of simultaneous PDPs leading to each PDP requiring
independent Keep Alive Signaling, inefficiencies in RAN and increased UE
battery drain.
Most of the issues described above are not valid in a GPRS network due to
the inherent radio bearer capabilities. So operators need to plan ahead
with their service and APN strategies while migrating and/or growing the
3G network. The APN issue will be exacerbated in the near term by the
presence of IPv4 and IPv6 applications, and a dual-stack-capable device.
Depending on whether the legacy applications have been transitioned to
IPv6 or not, both Service Aware APNs should support real-time secondary
RABs and multiple primaries. Although it is beneficial to support secondary
PDP contexts, there are costs and other issues associated with secondary
PDPs and operators need to weight their business requirements, cost
justifications, and implementation complexity considerations in deciding on
their own deployment plan and schedules.
20. QoS Interoperability and Policy Management 20
Single APN use for QoS (one Primary and multiple Secondaries)
PROS
Only one APN needs to be configured on the terminal side (no
complex multiple APNs settings)
Only one Primary PDP (Packet Data Protocol) Context is allocated
for each user
Each application can request certain QoS with secondary PDP
Context (QoS aware terminal)
When Secondary PDP Contexts are used then existing connection
for IMS can be used for applications
This concept works both for SIP and non-SIP based applications
Operator HelpDesk receives less support calls (OPEX savings)
Flexi ISN (Initial Sequence Number) supports single APN concept
CONS
NRT (Near Real Time) traffic uses the same QoS if NRT
applications are used simultaneously
QoS aware terminal is needed
Multiple APNs in device
PROS
Simultaneous NRT applications has own QoS
QoS differentiation between applications
CONS
Requires Multiple Primary PDP Contexts support from terminal
Multiple PDP Contexts concept requires also multiple IP
addresses/user
Each Primary PDP Context requires own IMS connection because
each primary PDP Context has own IP address
Multiple Primary PDP Contexts requires complex multiple APN
setups from the user
Operator HelpDesk receives more support calls when multiple
APNs are needed to setup in the terminal (high OPEX)
Terminals support usually maximum 5 APNs settings
simultaneously
Terminals support maximum 3-4 simultaneous Primary PDP
Contexts
Significant cost-saving opportunities exist if IPv4 / IPv6 APNs are
combined or services are provisioned exclusively depending on UE
capability. This can be realized by upgrading all key legacy applications to
a dual stack on the device user interface. Such an implementation will
require 5-tuple (Header Inspection) in the GGSN to identify how on IPv4
and IPv6 packets are routed, but will significantly reduce the requirements
for multiple PDPs and consequently multi-RABs.
21. QoS Interoperability and Policy Management 21
Figure 5: Modified and Existing Services Domain
To further reduce RAB/PDP complexity, a Service Aware APN Architecture
may be used, as shown in Figure 5.
3.3.2.2. Signaling of RAB Id for active PDP contexts
Presently Data Service Request Type is sent to the Network without any
indication of which PDP context is active in pre-3GPP Rel-7 devices. This
results in the network needing to re-establish all RABs, even dormant
ones, while there is real data flow on only one. This has a number of
undesirable side effects, especially when there are several PDP contexts
present. The network is obliged to attempt to reactivate all PDP contexts
when a Service request type data is requested. Dormant PDP contexts will
be unnecessarily activated, consuming UE and RNC resources. This
procedure is wasteful on resources when PDP contexts are released in the
network due to inactivity. If the network is in a congested situation, it will
not know which PDP context to prioritise for re-establishment.
The above issues can be solved if the UE signals indication of PDP context
activity in the Service Request message of service type=data. It is
recommended that operators plan to deploy this principle in pre-3GPP Rel-
7 devices and core network elements to maximize radio and packet
network efficiency. A scheme has been standardized in 3GPP to mitigate
the problem. As per C1-060347 CR 24.008, the UE will be required to
signal indication of PDP context activity in the Service Request message of
service type=data.
3.3.3. Traffic Handling Priority (THP)
THP treats the relative priority for the handling of all SDUs (Service Data Unit)
belonging to the UMTA Interactive Class bearer compared with all other SDUs of the
same class bearers. THP along with other QoS attributes such as traffic class, ARP
(Allocation and Retention Priority), GBR (Guaranteed Bit Rate), SI (scheduling
information) shall be used in the RNC QoS scheduler mapping function to derive a
scheduling priority index, discard timer and GBR. In the Node-B scheduling process,
RABs are mapped based on SPI with an operator definable weight on each of 15
SPIs (Scheduling Priority Indicator).
Node-B shall use these different SPI levels with appropriate scheduling algorithms
(e.g. maximum C/I, Proportional Fair, minimum GBR, etc) to differentiate individual
HSDPA flows, taking into account both radio conditions, resources and call priorities.
Both the RNC mapping table and Node-B HSDPA scheduling priority mapping sets
shall be configurable Operation and Maintenance parameters. They shall have the
same life span as the RAB assignment.
GGSN
New services
domain (IPv6/DS)
Modified existing
services domain
22. QoS Interoperability and Policy Management 22
3.3.4. RAB Modifier Process
PDP modification process applies to both primary and secondary PDPs. Primary
PDP modification mainly addresses non-QoS aware UEs. Secondary PDP
modification can be used to change the QoS characteristics initially assigned to the
secondary context.
The latter can be manifest by dynamically modifying the THP or ARP parameters of
the PDP according to the service being used. The core network will initiate the RAB
modify process by ordering the RNC.
RAB negotiation or Iu fallback procedures are required for real-time services if the
originally requested guaranteed RABs could not be assigned by the network due to
congestion or other reasons.
In the case of RAB negotiation, SGSN gives the RNC alternative MBR/GBR values at
RAB assignment and the RNC can then request a change of the MBR/GBR based on
values given at RAB assignment during the connection.
With Iu (Interface unit) fallback, the SGSN makes a new RAB assignment attempt
with different QoS attributes in response to a RAB assignment failure.
In addition to the above procedures, UE may initiate PDP context modification to
request a different MBR, GBR or QoS class.
3.3.5. Radio Network Admission and Congestion Control
The main check is done by the RNC QoS Call Admission Control (CAC) manager
based on QoS class associated with the RAB combinations, as well as other QoS
attributes like THP and ARP to determine the relative priority level during admission
and congestion processes. The RNC CAC manager also checks the available
network resources (channel codes), capacity/hardware resources, and Air interface
resources (cell load, available power) to estimate the load associated with new
request. Freeing resources is based on priorities and request class. In general, GBR
requests can free up resources from non GBR and from GBR with lower priority. Non
GBR may free up resources from other non GBR with same or lower priority. The
pre-emption order followed will first down switch interactive/ background users to
minimum non shrinkable rate according to ARP parameter. This will be followed by
release of services, also in order of ARP.
ARP is one of the attributes that defines UMTS bearer priority. This ARP attribute is
an operator assignable subscription attribute that can be used to decide ARP
allocation policy for the user differentiation. ARP does not need to be negotiated with
the mobile terminal. Therefore the operator can decide ARP allocation policy for the
user differentiation.
There are three levels of ARP, 1- high, 2-medium, and 3-low. ARP applies to all
traffic classes. This IE specifies the relative importance compared with other RABs
for allocation and retention of the radio access bearer.
For PDP context activation, the ARP field in QoS profile has the value of 1, 2 or 3.
However in RAB Assignment Request, the ARP field is made of four fields: Priority
level (1 to 14), Pre-emption capability (shall not trigger pre-emption, may trigger pre-
emption), Pre-emption Vulnerability (not pre-emptable, pre-emptable) and Queuing
allowance (queuing not allowed, queuing allowed). SGSN will populate the ARP
fields contained in the RAB parameter IE with correct priority levels for the RANAP
23. QoS Interoperability and Policy Management 23
(Radio Access Network Application Part) messages sent to RNC. RNC receives 4
attributes that make up the ARP field in QoS from RAB assignment request, in
principle RNC needs to determine the call priority using all of them. ARP has
precedence over traffic class during call admission control. An ARP=1 bearer shall
have higher priority than ARP=2 bearer even it is conversational or streaming. During
congestion ARP value will be taken into account first in order to downgrade a bearer.
In addition, for interactive class, the THP and (optionally) ARP parameters are
mapped to SPI in RNC to determine scheduling priority per TTI.
Streaming
Video
Client
GGSN
APN
Secondary PDP
Media RTP/RTCP
Primary PDP
Signaling SIP/RTSP
Interactive QoS
Streaming QoS
IMS
P-CSCF
Streaming
Video
Client Secondary PDPPrimary PDP
Interactive QoS
Streaming QoS
PCRF
Signaling SIP/RTSP
Policy Management Framework
Figure 6: UE Considerations to support QoS
Real-time QoS Device Use Case – See Figure 6.
Streaming QOS- See Figure 6.
Application requests flow specific QoS profile via QoS API
Terminal uses an existing Primary PDP context for SIP/RTSP signaling and opens
a Streaming QoS Secondary PDP Context for RTP/RTCP
If network rejects the Secondary PDP Context activation or deactivates it later,
Fallback is to use one Primary PDP context for both SIP/RTSP and RTP/RTCP.
See Figure 6.
In case network downgrades the negotiated QoS, UE reaction is application
dependent (e.g. continue with downgraded QoS or deactivate the context)
Streaming QOS application to POC – See Figure 7.
PoC SIP signaling will use Interactive context with subscribed QoS (network
default) values
Secondary streaming context is requested for PoC media flows with explicit values
for QoS parameters
PoC SIP Signaling requires always-on PDP context (Network shall not deactivate
the context)
VSC (video sharing) same but higher bit rates
24. QoS Interoperability and Policy Management 24
Signaling
Video Bearer
Voice Bearer
HSSHSS
P-CSCFP-CSCF S-CSCFS-CSCF
IMS
I-BCFI-BCF
OCS / CCFOCS / CCF
SBCSBC
UE 1
CS
client
CS
client
VS
client
VS
client
UE 2
CS
client
VS
client
UE 2
CS
client
VS
client
Node B RNC SGSNNode BNode B RNCRNC SGSNSGSN
GGSN
MSCMSC
Node B RNC SGSNNode BNode B RNCRNC SGSNSGSN
BTS BSCBTSBTS BSCBSC
BTS BSCBTSBTS BSCBSC
PCRF
AF
Figure 7: Streaming QoS application example
3.3.6. Complex QoS / QoS Aware Devices
QoS-aware user equipment will support QoS in the following areas:
QoS-aware application client – ability to request QoS parameters (from
OS middleware through e.g. a QoS API)
QoS-aware middleware / operating system – ability to pass QoS
requests and responses from application to cellular engine.
o OS needs to handle Multiple PDP contexts and secondary PDP
contexts
QoS-enabled cellular engine – ability to establish PDP context including
secondary PDP contexts and negotiate QoS
QoS-aware user equipment will not perform the IP Bearer Service Manger (IP BS
Mgr) function.
Only GGSN will perform diffuser edge function
UE will not perform diffuser edge function
25. QoS Interoperability and Policy Management 25
UE requested valueQoS parameter
SubscribedGuaranteed bit rate
DL (kbps)
SubscribedMaximum bit rate
UL (kbps)
SubscribedSDU error ratio
SubscribedTransfer delay (ms)
SubscribedMaximum SDU size
(octets)
SubscribedGuaranteed bit rate
UL (kbps)
SubscribedTraffic handling
priority
SubscribedResidual BER
SubscribedDelivery of
erroneous SDUs
SubscribedDelivery order
SubscribedMaximum bit rate
DL (kbps)
Interactive
or SubscribedTraffic Class
UE requested valueQoS parameter
SubscribedGuaranteed bit rate
DL (kbps)
SubscribedMaximum bit rate
UL (kbps)
SubscribedSDU error ratio
SubscribedTransfer delay (ms)
SubscribedMaximum SDU size
(octets)
SubscribedGuaranteed bit rate
UL (kbps)
SubscribedTraffic handling
priority
SubscribedResidual BER
SubscribedDelivery of
erroneous SDUs
SubscribedDelivery order
SubscribedMaximum bit rate
DL (kbps)
Interactive
or SubscribedTraffic Class
UE requested valueQoS parameter
8 kbps with IPv4
(9 kbps with IPv6) *
Guaranteed bitrate
DL (kbps)
<Terminal max
capability in UL>
e.g. 112 kbps
Maximum bitrate UL
(kbps)
10-4SDU error ratio
600Transfer delay (ms)
600Maximum SDU size
(octets)
8 kbps with IPv4
(9 kbps with IPv6) *
Guaranteed bitrate
UL (kbps)
SubscribedTraffic handling
priority
10-5Residual BER
NoDelivery of
erroneous SDUs
NoDelivery order
<Terminal max
capability in DL>
e.g. 176 kbps
Maximum bitrate DL
(kbps)
StreamingTraffic Class
UE requested valueQoS parameter
8 kbps with IPv4
(9 kbps with IPv6) *
Guaranteed bitrate
DL (kbps)
<Terminal max
capability in UL>
e.g. 112 kbps
Maximum bitrate UL
(kbps)
10-4SDU error ratio
600Transfer delay (ms)
600Maximum SDU size
(octets)
8 kbps with IPv4
(9 kbps with IPv6) *
Guaranteed bitrate
UL (kbps)
SubscribedTraffic handling
priority
10-5Residual BER
NoDelivery of
erroneous SDUs
NoDelivery order
<Terminal max
capability in DL>
e.g. 176 kbps
Maximum bitrate DL
(kbps)
StreamingTraffic Class
POC Signalling POC Media
Table 5: POC Signaling Table 6: POC Media
3.3.7. Simple QoS
Simple QoS does not support real-time QoS, but rather interactive RABs with
static QoS profiles. Simple QoS provides better than best effort for non QoS
aware devices. For example, providing different tiers of performance and
bandwidth to the ubiquitous internet could leverage simple QoS. Because the
internet is “best effort” and the services are “internet grade,” there is little value to
provide E2E QoS via real-time RABs.
Many times simple QoS is defined statically and does not change. The QoS is
statically provisioned in the HLR. The QoS is enforced on the primary PDP
context and no secondary PDP contexts are used.
3.3.8. QOS / Multiple APN support in Devices – overall analysis
Device test software support for QOS has been available for some time.
Tokens are no longer required for QoS. The recommended approach is
to support a token-less method which was defined in 3GPP Rel-7
Globally it does not appear to have been fully deployed. Last year no
operators were using it although some operators were in test.
Many test issues associated with failure cases
Provisioning and IT issues
UMTS complexity with RABs
2G / 3G transition issues
Not a standalone capability – tied to applications/ OS etc.
QOS can be supported in devices but depends on a detailed end-to-end
plan with applications and appropriate testing
3.4. Policy enabled charging for Roamers
Charging for roamers is beyond the scope of this white paper because charging
between carriers is more of a business issues than a technical issue. However, we
can not stress enough the importance of charging in the roaming arrangements. We
26. QoS Interoperability and Policy Management 26
would assume that charging parameters and rules can be handled in the same way
as QoS by the policy framework.
4. Summary
As wireless networks evolve to all-IP networks, it is critical for mobile service providers to
continue to provide value to the subscribers while maintaining control over resources. Two
key enabling architectures have been introduced: Policy Management Framework and QoS
(Packet Core/Transport and RAN). 3G Americas recognizes that each operator must
determine the final implementation of their QoS and Policy based on their own business
requirements and network conditions.
Detailed recommendations and technical considerations have been provided throughout the
whitepaper. In conclusion, 3G America recommends the following three actions:
Firstly, 3G Americas recommends service providers implement a policy management
framework based on 3GPP Rel-7 Policy Charging Control. Policy management framework
becomes a key enabling technology for roaming service and dynamic QoS control. The
Policy Management Framework is critical for roaming and policy negotiation.
Secondly, 3G Americas recommends service providers establish a minimum set of QoS
feature parity in the Packet Core and Transport based on 3GPP Rel-7 Policy Charging
Control in order to support QoS and Charging. To get to QoS feature parity in the Packet
Core, 3G Americas has the following recommendations for mobile service providers: 1)
gateway support for policy enforcement based on 3GPP Rel-7 Policy Control Charging e.g.
GGSN, PDG, 2) QoS enabled transport e.g. IPX, and 3) support for local-breakout based on
policy and SLAs.
Lastly, 3G Americas recommends service providers establish a minimum set of QoS feature
parity in the Radio Access Network in order to support real-time / time sensitive services e.g.
video share. To get to QoS feature parity in the RAN, 3G Americas has provide the following
considerations: 1) multi-RAB support for HSPA bearers, 2) agreed-upon set of RAB
combinations, 3) traffic handling priority (THP) support, and 4) scheduler support for QoS /
CAC.
5. Acknowledgements
The mission of 3G Americas is to promote and facilitate the seamless deployment throughout
the Americas of GSM and its evolution to 3G and beyond. 3G Americas' Board of Governors
members include Alcatel-Lucent, Andrew Corporation, AT&T, Cable & Wireless, Ericsson,
Gemalto, HP, Motorola, Nortel Networks, Nokia, Openwave, Research in Motion (RIM),
Rogers, T-Mobile USA, Telcel, Telefónica, and Texas Instruments.
We would like to recognize the significant project leadership and important contributions of
James Hu and Paul Smith of AT&T and Suresh Kumar of Alcatel-Lucent as well as the other
member companies from 3G Americas’ Board of Governors who participated in the
development of this white paper.
27. QoS Interoperability and Policy Management 27
6. Acronym/Glossary
AF Application Function
APN Access Point Name
APN Access Point Name
ARIN American Registry for Internet Numbers
ARP Allocation & retention Priority
ASP Application Service Provider
CAC Call Admission Control
CoS Class of Service
DSCP DiffServ Control Points
FBC Flow Based Charging
GBR Guaranteed bit rate attribute in QoS profile
GGSN Gateway GPRS Support Node
HLR Home Location Register
HSDPA High Speed Downlink Packet Data Access
HS-DSCH Downlink Shared Channel used in HSDPA
HS-DSCH High-Speed Downlink Shared Channel
IANA Internet Assigned Numbers Authority
IMS IP Multimedia Subsystem
IP-CAN IP Connectivity Access Network
IP-CAN Industry Pack Module with two channels of CAN - Controller Area Network
ISN Initial Sequence Number
ISP Internet Service Provider
Iu Interface unit
MACD Moving Average Convergence / Divergence
MBR Maximum bit rate attribute in QoS profile
NAS Layer Non Access Stratum layer
NRT Near Real Time
OCF Online Charging System
OCFS Offline Charging System
PCC rule
A set of information enabling the detection of a service data flow and providing
parameters for policy control and/or charging control.
PCEF Policy and Charging Enforcement Function
PCRF Policy and Charging Rules Function
PDN Process Data Network
PDP Policy Decision Point
PDP Context
Packet Data Protocol context is a data structure present on both the SGSN and the
GGSN which contains the subscriber's session information when the UE has an
active session
PDP Programmed Data Processor
PEP Extension Mechanism for HTTP
Policy
Policies are “a set of rules to administer, manage, and control access to network
resources [RFC3060]”
28. QoS Interoperability and Policy Management 28
PDP
Policy Decision Point. A logical entity that makes policy decisions for itself or for
other network elements that request such decisions
PEP Policy Enforcement Point. A logical entity that enforces policy decisions
PS (with RAB) Packet Switched (with Radio Access Bearers)
PSTN Public Switched Telephone Network (PSTN)
QoS
Quality of Service - A set of attributes used to differentiate the quality of service
flows. QoS affects latency, jitter (variable delay), and packet loss.
RAB
Radio Access Bearer. The RAB functionality provides the CN with a set of services
between the core network and the UE
RB
Radio Bearer. The allocation/de-allocation function located in the RNC translates
the connection element set up requests into physical radio channel allocation
according to the QoS of the radio access bearer
RANAP Radio Access Network Application Part
RIR Regional Internet Registry
RTP Real-time Transport Protocol
RTCP Real-time Control Protocol
RTSP Real-time Streaming Protocol
SBLP Service Based Local Policy
SCP Service Control Point
SDP Service Delivery Platform
SDU Service Data Unit
SLA
Service Level Agreement. The documented result of a negotiation between a
customer/ consumer and a provider of a service that specifies the levels of
availability, serviceability, performance, operation or other attributes of the service.
SGSN Serving GPRS Support Node
SIP Session Initiation Protocol
SLA Service Level Agreement
SPI Scheduling Priority Indicator
SPR Subscription Profile Repository
SRB Signaling Radio Bearer
THP Traffic handling Priority
TTI Transmission Time Interval
TTI Trusted Time Infrastructure
UE
User Equipment. The UE contains both the mobile equipment domain and the
smart card based user services identity module (USIM) domains
UTRAN UMTS Terrestrial Radio Access Network
29. QoS Interoperability and Policy Management 29
7. References
[1] 3GPP TS 23.203: "Policy and Charging Control Architecture", V7.3.0
[2] 3GPP TS 32.240: "Telecommunication management; charging management;
Charging architecture and principles"
[3] 3GPP TS 23.207: "End-to-end Quality of Service (QoS) concept and
architecture"
[4] 3GPP TS 29.214: “Policy and Charging Control over Rx reference point”
[5] 3GPP TS 29.212: “Policy and Charging Control over Gx reference point”
[6] 3GPP TS 29.213: “Policy and charging control signaling flows and Quality of
Service (QoS) parameter mapping”
[7] 3GPP TS 23.228: “IP Multimedia Subsystem (IMS); Stage 2”
[8] 3GPP TS 34.108: “Common test environments for User Equipment (UE);
Conformance testing”
[9] 3GPP TR 25.993: “Typical examples of Radio Access Bearers (RABs) and
Radio Bearers (RBs) supported by Universal Terrestrial Radio Access
(UTRA)”
[10] 3GPP TSG-CT1 Meeting #41 - Tdoc C1-060347, CR 24.008-1053 PDP
Context Activity Indication for Service Request (Service Type = Data)