SlideShare a Scribd company logo
1 of 7
Download to read offline
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 2, Ver.1 (Mar - Apr.2015), PP 13-19
www.iosrjournals.org
DOI: 10.9790/2834-10211319 www.iosrjournals.org 13 | Page
UMTS FTP Performance Enhancement Using Admission Control
Algorithm
1
Eng.Mohamed Abdelmotalab Abdelrahman Suliman
2
Dr. Amin Babiker A /Nabi Mustafa
mohdtalab17@gmail.com
Neelain University. Faculty of Engineering SUDAN
Neelain University. Faculty of Engineering SUDAN
amin31766@gmail.com
Abstract: The Universal Mobile Telecommunication systems are one of the very important cellular phone
technologies which are known as the 3G systems. It support the high speed data transfer, speech, web browsing,
email, video telephony, multimedia and the audio streaming. The expected growth in real time application
requires efficient spectrum usage. In UMTS, users share the same frequency. Thus, one user will cause
interference for other users in the system. New users will only be granted access to the network if they do not
cause too much interference for already active users. The idea is that it is much better to block the access of a
user to the network than having to drop already active users. Such decisions are made by the admission control.
In this paper, applying Admission control algorithm are studied in multiples scenarios with three levels of load,
low load, medium load and high load compared. The aim is to compare the efficiency of the admission control
algorithm to demonstrate the alternative, FTP performance via admission control algorithm and compare its
performance against the performance of the default algorithm of the network. The scenarios implemented in the
OPNET Modeler 14.5. Based on the obtained result, the throughput -based admission control algorithm
performed better than the default admission control algorithm for the given network and configuration ,in the
terms of application traffic throughput and application response time.
I. Introduction
The world of mobile communications is rapidly changing. New technologies emerge at the market with
increasing pace, both from standardization bodies within the telecommunication community like the
International Telecommunication Union (ITU) as well as on the initiative of the computer and chip industry.
While the former wants to evolve existing third generation (3G) telecommunication standards like the
Universal Mobile Telecommunication System (UMTS), the latter have the possibility to design completely new
systems from scratch, The driving force behind these activities is the Internet. Mobile telecommunication
operators must react on the great success of disruptive technologies like peer-to-peer communication and Web
2.0 applications. Users demand ubiquitous access to these new communication platforms. This requires more
bandwidth and an optimized system design. Concurrently, considerable efforts are made to establish packet-
switched communication with the Internet Protocol (IP) as a universal principle of end-to-end communication.
IP-based vertical integration promises new opportunities to extend classical services like voice and to establish
new services on the telecommunication market. A well known manifestation of these efforts is IP-television
(IPTV), which is promoted by fixed-network operators for some time. A further impulse is generated by the
technological progress of the mobile device manufacturers. Up-to-date cellular phones integrate various devices
in one, like a photo and video camera, a music player, or a GPS navigation system.
Furthermore, smart phones blur the line between traditional cellular phones and computers. The
increased capabilities of these new devices in terms of media, memory and computing power enables new
services. However, the data volume created by applications like for example video recording requires higher
bandwidths for a satisfying service quality. 3G communication systems like UMTS provide considerable
support for IP traffic, but are designed and optimized for circuit-switched data like voice or video telephony.
This prevents an efficient usage of radio resources and obstructs the development and deployment of new
services.
In the UMTS domain, the 3G partnership project (3GPP) specified the High Speed Packet Access
(HSPA) family, consisting of High Speed Downlink Packet Access (HSDPA) and its counterpart High Speed
Uplink Packet Access (HSUPA) or Enhanced Uplink. The focus of this monograph is on HSPA systems,
although the operation principles of other 3.5G systems are similar. we take UMTS FTP admission control
algorithm as an application scenario to analyze and evaluate UMTS FTP Performance enhancement using two
different Values and scalable load for UMTS RNC admission control Parameters, parameters not affected by the
service type., This analysis will help identify the UMTS throughput based - in terms of admission control
UMTS FTP Performance Enhancement Using Admission Control Algorithm
DOI: 10.9790/2834-10211319 www.iosrjournals.org 14 | Page
algorithm and can guide the operators to choose the best admission control algorithm. I have designed and
implemented UMTS simulation module in OPNET and carried out extensive simulations to analyze traffic
throughput and response time . Our simulation results show that the UMTS throughput -based admission control
algorithm performed better than the default admission algorithm for the given network and configuration in
terms of application traffic throughput and application response time. The rest of the paper is organized as
follows Section II briefly gives background UMTS . Section III deals with the simulation setup used in OPNET
for UMTS .Section IV evaluates and analyzes the Simulation results throughput-based admission control
running on UMTS. Section V discusses the related work. Finally In Section VI we conclude this paper.
II. UMTS
UMTS has been adopted by the International Telecommunication Union (ITU) in the course of the
IMT1-2000 initiative. The goal of the initiative was the development of a global common standard for wireless
mobile communications of the third generation as successor for GSM (Global System for Mobile
Communication) and GPRS (General Packet Radio System). Several proposals which met the requirements of
the initiative have been filed in to the ITU, one of them was UMTS, developed by the 3rd Generation
Partnership Project (3GPP). The goal of the 3GPP standardization body was to evolve the existing GSM to
enable services like video conferencing or streaming. Consequently, the first releases of the UMTS standard
maintained a large part of the GSM architecture, but specified new air interface standards which provide higher
data rates and lower latencies.
III. UMTS Architecture
The UMTS architecture is derived from its predecessors GSM and GPRS, which allows operators to
reuse and update their existing network infrastructure without the requirement to invest in a completely new
network from scratch. The largest difference can naturally found in the radio access network (RAN), while the
core network (CN) part is more or less inherited from GSM and GPRS. Figure outlines the logical and
functional elements of a UMTS network.
. Figure 1 Architecture of a UMTS-Network
VI. Topology and configuration
The deployed topology for the simulation environment is shown in Figure 2 . The network topology
shows the networking elements used along with their interconnections. The model as in figure 2 comprises user
equipments, node B and Radio Network Controller(RNC) which is connected to the packet switched network
via Serving GPRS Support Node (SGSN) and Gateway GPRS Support Node (GGSN) which in turn is
connected to the IP Network ten users were used. FTP-Server was used to download low load, medium load and
high load multi scenarios were deployed one for Default network and other scenario for admission control
algorithm to compare its performance against the default value .
UMTS FTP Performance Enhancement Using Admission Control Algorithm
DOI: 10.9790/2834-10211319 www.iosrjournals.org 15 | Page
Figure 2 : UMTS Model
V. Results and Analysis
In this paper same attributes and same simulation environment ,but with different admission control
algorithm , admission control algorithm: throughput-Based default value 0.75 for uplink loading factor and
downlink loading factor in the first scenario while in the second scenario used admission control algorithm-
based value 1.5 for uplink loading factor and downlink loading factor. The result that performance of each
scenario is evaluated in the network model depending on the application traffic throughput and application
response time. The simulation was run for two different scenarios to collect performance related statistics as
discussed each scenario based statistics were for the admission control parameters used to configure the
respective scenario. The collected statistics are presented in the following discussion in a compare contrast
fashion to facilitate the understanding of the implications of a single factor or parameter on different values.
VII. throughput (Bits/Sec)
Figure 3and Figure 4 illustrated the collected statistics as drawn show that the result throughput
compared default network and admission control which was performed bitter than the default for the given
network and configuration. which was refer to the acceptable performance.
Figure 3 : FTP Throughput-Default
UMTS FTP Performance Enhancement Using Admission Control Algorithm
DOI: 10.9790/2834-10211319 www.iosrjournals.org 16 | Page
Figure 4 : FTP Throughput-Admission Control
VII. Response time
Figure 5 and Figure 6 portrays the response time of the FTP application which used to be the sample
application for the multiple scenarios . The result indicated admission control algorithm had a lowest response
time than the default network value which was the highest response time.
Figure 5 : Response Time Default
UMTS FTP Performance Enhancement Using Admission Control Algorithm
DOI: 10.9790/2834-10211319 www.iosrjournals.org 17 | Page
Figure 6 : Response Time Admission Control
VIII. Traffic Sent and Received:
As shown in the Figure 7,8,9 and 10 the traffic sent and received in default network not affected while
in admission control there were loss due to retransmitted and admission control policy.
Figure 7 : Traffic Sent Default
Figure 8 : Traffic Received Default
UMTS FTP Performance Enhancement Using Admission Control Algorithm
DOI: 10.9790/2834-10211319 www.iosrjournals.org 18 | Page
Figure 9 : Traffic Sent Admission Control
Figure 10 : Traffic Received Admission Control
IX. Delay:
As shown in the Figure 11 and 12 the delay of default network is less compared with admission
control algorithm, Here in admission control algorithm more users are blocked .
Figure 11 Delay Default
UMTS FTP Performance Enhancement Using Admission Control Algorithm
DOI: 10.9790/2834-10211319 www.iosrjournals.org 19 | Page
Figure 12 Delay Admission Control
X. Discussion of Results
The consequences eventuated from the simulation results are summarized which is a comparative
throughput performance enhancement using default Network and admission control algorithm in UMTS-FTP
application. The difference in admission control algorithm for the UMTS throughput had varying level of
efficiency. When we chose default network had the lowest throughput and highest response time if compared to
the admission control algorithm ,The results from this paper showed that the admission control algorithm were
capable of performing fairly well in UMTS throughput -based scenarios.
XI. Conclusion and Future Work
From the simulation result we can consider throughput Performance of different admission control
algorithm in UMTS is evaluated and analyzed using the OPNET Modeler. A variety of simulations are carried
out to get the most effective and efficient results. On the basis of results attained, conclusion for the selection
admission control algorithm in UMTS is made. Depending on the results it is concluded that in UMTS network
the best Throughput is given while using admission control algorithm .Hence it can be used in all the networks
depending on the environment and users density. The conclusions will be helpful and useful for the network
planners and operators and also for the beginner researchers to further work on these issues. The UMTS
Performance enhancement will be the main focus of the future work.
References
[1] R. Ramjee, D. Towsley, and R. Nagarajan, “On optimal call admission control in cellular networks,” ACMWireless Networks, vol.
3, pp. 29–41, 1997
[2] A. Samukic, UMTS Universal Mobile Telecommunications System Development of Standards for the Third Generation, 1998
[3] M. H. Ahmed, “Call admission control in wireless networks: A comprehensive survey,” IEEE Communications Surveys &
Tutorials, vol. 7, no. 1, pp. 50–59, Jul. 2005.
[4] P. Frenger, S. Parkvall, and E. Dahlman, “Performance comparison of HARQ with chase combining and incremental redundancy
for HSDPA,” in Proc. of IEEE VTC Fall ’01, Vancouver, Canada, Sep. 2001, pp. 1829–1833.
[5] H. Holma and J. Laakso, “Uplink Admission Control and Soft Capacity withMUD in CDMA,” in Proc. of IEEE VTC Fall ’99, vol.
1, Amsterdam, The Netherlands, Sep. 1999, pp. 431–435.
[6] Bernhard H. Walke, “Mobile Radio Networks”, Second Edition, Wiley, 2002
[7] Kar-Lok Chan, “Downlink Admission Control for CDMA-systems in UMTS”, Masters Thesis in electrical engineering, S3 KTH.
[8] Jamie S. Evans and David Everitt, “Effective Bandwidth Based Admission Control for Multi-Servive CDMA Cellular Networks”,
Technical report, Department of Electrical and Electronic Engineering University of California, Berkeley, USA, 1995.

More Related Content

What's hot

Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)
Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)
Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)Desong Bian
 
Efficient Vertical Handoff Management in LTE Cellular Networks
Efficient Vertical Handoff Management in LTE Cellular NetworksEfficient Vertical Handoff Management in LTE Cellular Networks
Efficient Vertical Handoff Management in LTE Cellular NetworksIRJET Journal
 
QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...
QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...
QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...csandit
 
Implementation of High Speed Railway Mobile Communication System
Implementation of High Speed Railway Mobile Communication SystemImplementation of High Speed Railway Mobile Communication System
Implementation of High Speed Railway Mobile Communication Systemrahulmonikasharma
 
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...IRJET Journal
 
Final Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortium
Final Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortiumFinal Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortium
Final Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortiumEiko Seidel
 
Rrclte mobisys2012
Rrclte mobisys2012Rrclte mobisys2012
Rrclte mobisys2012yash sharma
 
Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB
Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB
Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB Murtadha ali shukur
 
FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...
FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...
FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...pijans
 
Mask Lte Planning Tool
Mask Lte Planning ToolMask Lte Planning Tool
Mask Lte Planning ToolAmr BARAKAT
 
Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...
Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...
Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...CSCJournals
 
A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE
A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE
A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE ijwmn
 
The second phase of lte advanced lte-b 30-fold capacity boosting to lte
The second phase of lte advanced lte-b  30-fold capacity boosting to lteThe second phase of lte advanced lte-b  30-fold capacity boosting to lte
The second phase of lte advanced lte-b 30-fold capacity boosting to ltessk
 

What's hot (19)

1605.01126
1605.011261605.01126
1605.01126
 
LTE NETWORK OPTIMIZATION FOR URBAN AREA AT TAIZ CITY
LTE NETWORK OPTIMIZATION FOR  URBAN AREA AT TAIZ CITYLTE NETWORK OPTIMIZATION FOR  URBAN AREA AT TAIZ CITY
LTE NETWORK OPTIMIZATION FOR URBAN AREA AT TAIZ CITY
 
4G Mobile Communications
4G Mobile Communications4G Mobile Communications
4G Mobile Communications
 
Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)
Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)
Analysis of Communication Schemes for Advanced Metering Infrastructure (AMI)
 
Efficient Vertical Handoff Management in LTE Cellular Networks
Efficient Vertical Handoff Management in LTE Cellular NetworksEfficient Vertical Handoff Management in LTE Cellular Networks
Efficient Vertical Handoff Management in LTE Cellular Networks
 
03
0303
03
 
QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...
QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...
QOS-B ASED P ERFORMANCE E VALUATION OF C HANNEL -A WARE /QOS-A WARE S CHEDULI...
 
Implementation of High Speed Railway Mobile Communication System
Implementation of High Speed Railway Mobile Communication SystemImplementation of High Speed Railway Mobile Communication System
Implementation of High Speed Railway Mobile Communication System
 
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
Improving of Energy Efficiency in LTE based MIMO-OFDM systems with Multiuser ...
 
Final Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortium
Final Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortiumFinal Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortium
Final Performance Evaluation of 3GPP NR eMBB within 5G-PPP consortium
 
Rf planning umts with atoll1
Rf planning umts with atoll1Rf planning umts with atoll1
Rf planning umts with atoll1
 
Rrclte mobisys2012
Rrclte mobisys2012Rrclte mobisys2012
Rrclte mobisys2012
 
Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB
Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB
Synopsis On IMPLEMENTING SC-FDMA and OFDMA in MATLAB
 
FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...
FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...
FRAMEWORK, IMPLEMENTATION AND ALGORITHM FOR ASYNCHRONOUS POWER SAVING OF UWBM...
 
Mask Lte Planning Tool
Mask Lte Planning ToolMask Lte Planning Tool
Mask Lte Planning Tool
 
Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...
Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...
Tight Coupling Internetworking Between UMTS and WLAN: Challenges, Design Arch...
 
A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE
A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE
A Grouped System Architecture for Smart Grids Based AMI Communications Over LTE
 
J0343073079
J0343073079J0343073079
J0343073079
 
The second phase of lte advanced lte-b 30-fold capacity boosting to lte
The second phase of lte advanced lte-b  30-fold capacity boosting to lteThe second phase of lte advanced lte-b  30-fold capacity boosting to lte
The second phase of lte advanced lte-b 30-fold capacity boosting to lte
 

Viewers also liked (20)

M010518197
M010518197M010518197
M010518197
 
K010418290
K010418290K010418290
K010418290
 
C012141315
C012141315C012141315
C012141315
 
I012455457
I012455457I012455457
I012455457
 
M1802028591
M1802028591M1802028591
M1802028591
 
K1803057782
K1803057782K1803057782
K1803057782
 
H017534552
H017534552H017534552
H017534552
 
D011112432
D011112432D011112432
D011112432
 
K017257578
K017257578K017257578
K017257578
 
D1803062126
D1803062126D1803062126
D1803062126
 
F010133747
F010133747F010133747
F010133747
 
C010121017
C010121017C010121017
C010121017
 
B017230816
B017230816B017230816
B017230816
 
Bandwidth enhancement of rectangular microstrip patch antenna using slots
Bandwidth enhancement of rectangular microstrip patch antenna using slotsBandwidth enhancement of rectangular microstrip patch antenna using slots
Bandwidth enhancement of rectangular microstrip patch antenna using slots
 
I011115964
I011115964I011115964
I011115964
 
L017637173
L017637173L017637173
L017637173
 
Effectiveness of Strain Counterstrain Technique on Quadratus Lumborum Trigger...
Effectiveness of Strain Counterstrain Technique on Quadratus Lumborum Trigger...Effectiveness of Strain Counterstrain Technique on Quadratus Lumborum Trigger...
Effectiveness of Strain Counterstrain Technique on Quadratus Lumborum Trigger...
 
E010213039
E010213039E010213039
E010213039
 
J010116069
J010116069J010116069
J010116069
 
H010524049
H010524049H010524049
H010524049
 

Similar to C010211319

Ns 2 based simulation environment for performance evaluation of umts architec...
Ns 2 based simulation environment for performance evaluation of umts architec...Ns 2 based simulation environment for performance evaluation of umts architec...
Ns 2 based simulation environment for performance evaluation of umts architec...Makhdoom Waseem Hashmi
 
Performing Network Simulators of TCP with E2E Network Model over UMTS Networks
Performing Network Simulators of TCP with E2E Network Model over UMTS NetworksPerforming Network Simulators of TCP with E2E Network Model over UMTS Networks
Performing Network Simulators of TCP with E2E Network Model over UMTS NetworksAM Publications,India
 
LTE_NETWORK_ARCHITECTURE_EVOLUTION.pdf
LTE_NETWORK_ARCHITECTURE_EVOLUTION.pdfLTE_NETWORK_ARCHITECTURE_EVOLUTION.pdf
LTE_NETWORK_ARCHITECTURE_EVOLUTION.pdfYunesHasanAhmedAli1
 
NTT DoCoMo and the Future Implications of High
NTT DoCoMo and the Future Implications of HighNTT DoCoMo and the Future Implications of High
NTT DoCoMo and the Future Implications of HighLuke Markey
 
Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...
Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...
Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...TELKOMNIKA JOURNAL
 
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz Frequency
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz FrequencyRadio Link Analysis for 4G TD- LTE Technology at 2.3 GHz Frequency
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz FrequencySukhvinder Singh Malik
 
Quality of service performances of video and voice transmission in universal ...
Quality of service performances of video and voice transmission in universal ...Quality of service performances of video and voice transmission in universal ...
Quality of service performances of video and voice transmission in universal ...journalBEEI
 
RF Planning and Optimization in GSM and UMTS Networks
RF Planning and Optimization in GSM and UMTS NetworksRF Planning and Optimization in GSM and UMTS Networks
RF Planning and Optimization in GSM and UMTS NetworksApurv Agrawal
 
03.gsm 3 g-concept
03.gsm 3 g-concept03.gsm 3 g-concept
03.gsm 3 g-conceptsaroha31
 
“Performance Analysis of an LTE-4G Network Running Multimedia Applications”
“Performance Analysis of an LTE-4G Network Running Multimedia Applications”“Performance Analysis of an LTE-4G Network Running Multimedia Applications”
“Performance Analysis of an LTE-4G Network Running Multimedia Applications”IRJET Journal
 
A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...
A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...
A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...TELKOMNIKA JOURNAL
 
IRJET- Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...
IRJET-  	  Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...IRJET-  	  Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...
IRJET- Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...IRJET Journal
 
2g 3g telecommunication system
2g 3g telecommunication system2g 3g telecommunication system
2g 3g telecommunication systemeranga16
 
Performance comparison of umts and lte on the basis of data rates
Performance comparison of umts and lte on the basis of data ratesPerformance comparison of umts and lte on the basis of data rates
Performance comparison of umts and lte on the basis of data ratesIAEME Publication
 
Upgrading Cellular Mobile Networks
Upgrading Cellular Mobile NetworksUpgrading Cellular Mobile Networks
Upgrading Cellular Mobile NetworksStanislav Milanovic
 
Georgia tech 2010
Georgia tech 2010Georgia tech 2010
Georgia tech 2010oeslle
 

Similar to C010211319 (20)

Ns 2 based simulation environment for performance evaluation of umts architec...
Ns 2 based simulation environment for performance evaluation of umts architec...Ns 2 based simulation environment for performance evaluation of umts architec...
Ns 2 based simulation environment for performance evaluation of umts architec...
 
Performing Network Simulators of TCP with E2E Network Model over UMTS Networks
Performing Network Simulators of TCP with E2E Network Model over UMTS NetworksPerforming Network Simulators of TCP with E2E Network Model over UMTS Networks
Performing Network Simulators of TCP with E2E Network Model over UMTS Networks
 
LTE_NETWORK_ARCHITECTURE_EVOLUTION.pdf
LTE_NETWORK_ARCHITECTURE_EVOLUTION.pdfLTE_NETWORK_ARCHITECTURE_EVOLUTION.pdf
LTE_NETWORK_ARCHITECTURE_EVOLUTION.pdf
 
Plugin modul 1-e
Plugin modul 1-ePlugin modul 1-e
Plugin modul 1-e
 
NTT DoCoMo and the Future Implications of High
NTT DoCoMo and the Future Implications of HighNTT DoCoMo and the Future Implications of High
NTT DoCoMo and the Future Implications of High
 
Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...
Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...
Performance Analysis of Data Traffic Offload Scheme on Long Term Evolution (L...
 
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz Frequency
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz FrequencyRadio Link Analysis for 4G TD- LTE Technology at 2.3 GHz Frequency
Radio Link Analysis for 4G TD- LTE Technology at 2.3 GHz Frequency
 
Quality of service performances of video and voice transmission in universal ...
Quality of service performances of video and voice transmission in universal ...Quality of service performances of video and voice transmission in universal ...
Quality of service performances of video and voice transmission in universal ...
 
RF Planning and Optimization in GSM and UMTS Networks
RF Planning and Optimization in GSM and UMTS NetworksRF Planning and Optimization in GSM and UMTS Networks
RF Planning and Optimization in GSM and UMTS Networks
 
03.gsm 3 g-concept
03.gsm 3 g-concept03.gsm 3 g-concept
03.gsm 3 g-concept
 
Dd33630634
Dd33630634Dd33630634
Dd33630634
 
Dd33630634
Dd33630634Dd33630634
Dd33630634
 
“Performance Analysis of an LTE-4G Network Running Multimedia Applications”
“Performance Analysis of an LTE-4G Network Running Multimedia Applications”“Performance Analysis of an LTE-4G Network Running Multimedia Applications”
“Performance Analysis of an LTE-4G Network Running Multimedia Applications”
 
A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...
A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...
A New Model of Genetic Zone Routing Protocol (GZRP): The Process of Load Bala...
 
IRJET- Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...
IRJET-  	  Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...IRJET-  	  Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...
IRJET- Performance Parameter of Spectrum Sensing MIMO- OFDM based LTE Tec...
 
2g 3g telecommunication system
2g 3g telecommunication system2g 3g telecommunication system
2g 3g telecommunication system
 
LTE handover
LTE handoverLTE handover
LTE handover
 
Performance comparison of umts and lte on the basis of data rates
Performance comparison of umts and lte on the basis of data ratesPerformance comparison of umts and lte on the basis of data rates
Performance comparison of umts and lte on the basis of data rates
 
Upgrading Cellular Mobile Networks
Upgrading Cellular Mobile NetworksUpgrading Cellular Mobile Networks
Upgrading Cellular Mobile Networks
 
Georgia tech 2010
Georgia tech 2010Georgia tech 2010
Georgia tech 2010
 

More from IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Recently uploaded

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 

C010211319

  • 1. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 2, Ver.1 (Mar - Apr.2015), PP 13-19 www.iosrjournals.org DOI: 10.9790/2834-10211319 www.iosrjournals.org 13 | Page UMTS FTP Performance Enhancement Using Admission Control Algorithm 1 Eng.Mohamed Abdelmotalab Abdelrahman Suliman 2 Dr. Amin Babiker A /Nabi Mustafa mohdtalab17@gmail.com Neelain University. Faculty of Engineering SUDAN Neelain University. Faculty of Engineering SUDAN amin31766@gmail.com Abstract: The Universal Mobile Telecommunication systems are one of the very important cellular phone technologies which are known as the 3G systems. It support the high speed data transfer, speech, web browsing, email, video telephony, multimedia and the audio streaming. The expected growth in real time application requires efficient spectrum usage. In UMTS, users share the same frequency. Thus, one user will cause interference for other users in the system. New users will only be granted access to the network if they do not cause too much interference for already active users. The idea is that it is much better to block the access of a user to the network than having to drop already active users. Such decisions are made by the admission control. In this paper, applying Admission control algorithm are studied in multiples scenarios with three levels of load, low load, medium load and high load compared. The aim is to compare the efficiency of the admission control algorithm to demonstrate the alternative, FTP performance via admission control algorithm and compare its performance against the performance of the default algorithm of the network. The scenarios implemented in the OPNET Modeler 14.5. Based on the obtained result, the throughput -based admission control algorithm performed better than the default admission control algorithm for the given network and configuration ,in the terms of application traffic throughput and application response time. I. Introduction The world of mobile communications is rapidly changing. New technologies emerge at the market with increasing pace, both from standardization bodies within the telecommunication community like the International Telecommunication Union (ITU) as well as on the initiative of the computer and chip industry. While the former wants to evolve existing third generation (3G) telecommunication standards like the Universal Mobile Telecommunication System (UMTS), the latter have the possibility to design completely new systems from scratch, The driving force behind these activities is the Internet. Mobile telecommunication operators must react on the great success of disruptive technologies like peer-to-peer communication and Web 2.0 applications. Users demand ubiquitous access to these new communication platforms. This requires more bandwidth and an optimized system design. Concurrently, considerable efforts are made to establish packet- switched communication with the Internet Protocol (IP) as a universal principle of end-to-end communication. IP-based vertical integration promises new opportunities to extend classical services like voice and to establish new services on the telecommunication market. A well known manifestation of these efforts is IP-television (IPTV), which is promoted by fixed-network operators for some time. A further impulse is generated by the technological progress of the mobile device manufacturers. Up-to-date cellular phones integrate various devices in one, like a photo and video camera, a music player, or a GPS navigation system. Furthermore, smart phones blur the line between traditional cellular phones and computers. The increased capabilities of these new devices in terms of media, memory and computing power enables new services. However, the data volume created by applications like for example video recording requires higher bandwidths for a satisfying service quality. 3G communication systems like UMTS provide considerable support for IP traffic, but are designed and optimized for circuit-switched data like voice or video telephony. This prevents an efficient usage of radio resources and obstructs the development and deployment of new services. In the UMTS domain, the 3G partnership project (3GPP) specified the High Speed Packet Access (HSPA) family, consisting of High Speed Downlink Packet Access (HSDPA) and its counterpart High Speed Uplink Packet Access (HSUPA) or Enhanced Uplink. The focus of this monograph is on HSPA systems, although the operation principles of other 3.5G systems are similar. we take UMTS FTP admission control algorithm as an application scenario to analyze and evaluate UMTS FTP Performance enhancement using two different Values and scalable load for UMTS RNC admission control Parameters, parameters not affected by the service type., This analysis will help identify the UMTS throughput based - in terms of admission control
  • 2. UMTS FTP Performance Enhancement Using Admission Control Algorithm DOI: 10.9790/2834-10211319 www.iosrjournals.org 14 | Page algorithm and can guide the operators to choose the best admission control algorithm. I have designed and implemented UMTS simulation module in OPNET and carried out extensive simulations to analyze traffic throughput and response time . Our simulation results show that the UMTS throughput -based admission control algorithm performed better than the default admission algorithm for the given network and configuration in terms of application traffic throughput and application response time. The rest of the paper is organized as follows Section II briefly gives background UMTS . Section III deals with the simulation setup used in OPNET for UMTS .Section IV evaluates and analyzes the Simulation results throughput-based admission control running on UMTS. Section V discusses the related work. Finally In Section VI we conclude this paper. II. UMTS UMTS has been adopted by the International Telecommunication Union (ITU) in the course of the IMT1-2000 initiative. The goal of the initiative was the development of a global common standard for wireless mobile communications of the third generation as successor for GSM (Global System for Mobile Communication) and GPRS (General Packet Radio System). Several proposals which met the requirements of the initiative have been filed in to the ITU, one of them was UMTS, developed by the 3rd Generation Partnership Project (3GPP). The goal of the 3GPP standardization body was to evolve the existing GSM to enable services like video conferencing or streaming. Consequently, the first releases of the UMTS standard maintained a large part of the GSM architecture, but specified new air interface standards which provide higher data rates and lower latencies. III. UMTS Architecture The UMTS architecture is derived from its predecessors GSM and GPRS, which allows operators to reuse and update their existing network infrastructure without the requirement to invest in a completely new network from scratch. The largest difference can naturally found in the radio access network (RAN), while the core network (CN) part is more or less inherited from GSM and GPRS. Figure outlines the logical and functional elements of a UMTS network. . Figure 1 Architecture of a UMTS-Network VI. Topology and configuration The deployed topology for the simulation environment is shown in Figure 2 . The network topology shows the networking elements used along with their interconnections. The model as in figure 2 comprises user equipments, node B and Radio Network Controller(RNC) which is connected to the packet switched network via Serving GPRS Support Node (SGSN) and Gateway GPRS Support Node (GGSN) which in turn is connected to the IP Network ten users were used. FTP-Server was used to download low load, medium load and high load multi scenarios were deployed one for Default network and other scenario for admission control algorithm to compare its performance against the default value .
  • 3. UMTS FTP Performance Enhancement Using Admission Control Algorithm DOI: 10.9790/2834-10211319 www.iosrjournals.org 15 | Page Figure 2 : UMTS Model V. Results and Analysis In this paper same attributes and same simulation environment ,but with different admission control algorithm , admission control algorithm: throughput-Based default value 0.75 for uplink loading factor and downlink loading factor in the first scenario while in the second scenario used admission control algorithm- based value 1.5 for uplink loading factor and downlink loading factor. The result that performance of each scenario is evaluated in the network model depending on the application traffic throughput and application response time. The simulation was run for two different scenarios to collect performance related statistics as discussed each scenario based statistics were for the admission control parameters used to configure the respective scenario. The collected statistics are presented in the following discussion in a compare contrast fashion to facilitate the understanding of the implications of a single factor or parameter on different values. VII. throughput (Bits/Sec) Figure 3and Figure 4 illustrated the collected statistics as drawn show that the result throughput compared default network and admission control which was performed bitter than the default for the given network and configuration. which was refer to the acceptable performance. Figure 3 : FTP Throughput-Default
  • 4. UMTS FTP Performance Enhancement Using Admission Control Algorithm DOI: 10.9790/2834-10211319 www.iosrjournals.org 16 | Page Figure 4 : FTP Throughput-Admission Control VII. Response time Figure 5 and Figure 6 portrays the response time of the FTP application which used to be the sample application for the multiple scenarios . The result indicated admission control algorithm had a lowest response time than the default network value which was the highest response time. Figure 5 : Response Time Default
  • 5. UMTS FTP Performance Enhancement Using Admission Control Algorithm DOI: 10.9790/2834-10211319 www.iosrjournals.org 17 | Page Figure 6 : Response Time Admission Control VIII. Traffic Sent and Received: As shown in the Figure 7,8,9 and 10 the traffic sent and received in default network not affected while in admission control there were loss due to retransmitted and admission control policy. Figure 7 : Traffic Sent Default Figure 8 : Traffic Received Default
  • 6. UMTS FTP Performance Enhancement Using Admission Control Algorithm DOI: 10.9790/2834-10211319 www.iosrjournals.org 18 | Page Figure 9 : Traffic Sent Admission Control Figure 10 : Traffic Received Admission Control IX. Delay: As shown in the Figure 11 and 12 the delay of default network is less compared with admission control algorithm, Here in admission control algorithm more users are blocked . Figure 11 Delay Default
  • 7. UMTS FTP Performance Enhancement Using Admission Control Algorithm DOI: 10.9790/2834-10211319 www.iosrjournals.org 19 | Page Figure 12 Delay Admission Control X. Discussion of Results The consequences eventuated from the simulation results are summarized which is a comparative throughput performance enhancement using default Network and admission control algorithm in UMTS-FTP application. The difference in admission control algorithm for the UMTS throughput had varying level of efficiency. When we chose default network had the lowest throughput and highest response time if compared to the admission control algorithm ,The results from this paper showed that the admission control algorithm were capable of performing fairly well in UMTS throughput -based scenarios. XI. Conclusion and Future Work From the simulation result we can consider throughput Performance of different admission control algorithm in UMTS is evaluated and analyzed using the OPNET Modeler. A variety of simulations are carried out to get the most effective and efficient results. On the basis of results attained, conclusion for the selection admission control algorithm in UMTS is made. Depending on the results it is concluded that in UMTS network the best Throughput is given while using admission control algorithm .Hence it can be used in all the networks depending on the environment and users density. The conclusions will be helpful and useful for the network planners and operators and also for the beginner researchers to further work on these issues. The UMTS Performance enhancement will be the main focus of the future work. References [1] R. Ramjee, D. Towsley, and R. Nagarajan, “On optimal call admission control in cellular networks,” ACMWireless Networks, vol. 3, pp. 29–41, 1997 [2] A. Samukic, UMTS Universal Mobile Telecommunications System Development of Standards for the Third Generation, 1998 [3] M. H. Ahmed, “Call admission control in wireless networks: A comprehensive survey,” IEEE Communications Surveys & Tutorials, vol. 7, no. 1, pp. 50–59, Jul. 2005. [4] P. Frenger, S. Parkvall, and E. Dahlman, “Performance comparison of HARQ with chase combining and incremental redundancy for HSDPA,” in Proc. of IEEE VTC Fall ’01, Vancouver, Canada, Sep. 2001, pp. 1829–1833. [5] H. Holma and J. Laakso, “Uplink Admission Control and Soft Capacity withMUD in CDMA,” in Proc. of IEEE VTC Fall ’99, vol. 1, Amsterdam, The Netherlands, Sep. 1999, pp. 431–435. [6] Bernhard H. Walke, “Mobile Radio Networks”, Second Edition, Wiley, 2002 [7] Kar-Lok Chan, “Downlink Admission Control for CDMA-systems in UMTS”, Masters Thesis in electrical engineering, S3 KTH. [8] Jamie S. Evans and David Everitt, “Effective Bandwidth Based Admission Control for Multi-Servive CDMA Cellular Networks”, Technical report, Department of Electrical and Electronic Engineering University of California, Berkeley, USA, 1995.