UAIPD 14-0005
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This document describes a proposed smart spectrum handoff scheme for multimedia applications over cognitive radio networks. The scheme aims to maximize quality of experience for users by choosing an available channel with the best expected quality and minimizing handoff delays. It utilizes machine learning to optimize handoff performance over time based on network conditions, past experiences, and user feedback. The technology is intended to provide more reliable transmission of multimedia like video by prioritizing such traffic and accurately estimating handoff delays.
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Cr2012b
This document discusses cognitive radio and its radio frequency (RF) challenges. It begins by introducing dynamic spectrum access and the concept of cognitive radio as a way to opportunistically access unused licensed spectrum. It then discusses the key elements of cognitive radio systems, including spectrum sensing to detect unused spectrum and flexible waveforms. It focuses on the interweave approach where secondary users access spectral holes not in use by primary licensed users. Finally, it discusses some of the RF challenges in implementing cognitive radio, particularly wideband spectrum sensing to reliably detect primary user signals across frequency bands.
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The document discusses TEMS' 3-step innovation strategy towards 5G networks: 1) Secure today's networks by addressing challenges in services like voice/video calls and video streaming, 2) Continuously evolve current technologies like LTE-A and small cell networks, and 3) Be ready for the 5G revolution through partnerships, transforming expertise to the 5G context, and developing big data solutions. Key focus areas include improving quality of experience for services, optimizing heterogeneous networks, and testing technologies like massive MIMO and millimeter wave.Cognitive Radio Spectrum Management.pdf
Spectrum management in Cognitive Radio technology.
This PPT is useful for all students and teachers who want to know about Spectrum Management in Cognitive Radio.
content spectrum hole and dynamic spectrum access Cognitive radio network architecture
• Spectrum Management Approaches
• Cognitive cycle
• Challenges
• National goals for spectrum management
CHARACTERISTICS OF COGNITIVE RADIO,
Cognitive radio transceiver,
ARCHITECTURE OF COGNITIVE RADIO,
International Telecommunication Union (ITU) Radio Regulations
This content for M.tech(Electronics and Communication Engineering )
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Mis term paper
This document provides a summary of a term paper on cognitive radio. It discusses key topics such as:
- What cognitive radio is and its main features of intelligent awareness and reconfigurability.
- The inefficiencies of current static spectrum allocation and how cognitive radio can help address spectrum scarcity issues.
- Drivers for cognitive radio like dynamic spectrum access and cognitive radio networks.
- Challenges to deploying cognitive radio like legal hurdles, security issues, and technology hurdles related to spectrum sensing.
- Promising applications of cognitive radio in areas like emergency services, internet access, and rural connectivity.
Mis term paper
This document provides a summary of a term paper on cognitive radio. It discusses key topics such as:
- What cognitive radio is and its main features of intelligent awareness and reconfigurability.
- The inefficiencies of current static spectrum allocation and how cognitive radio can help address spectrum scarcity issues.
- Drivers for cognitive radio like dynamic spectrum access and cognitive radio networks.
- Challenges to deploying cognitive radio like legal hurdles, security issues, and technology hurdles related to spectrum sensing.
- Promising applications of cognitive radio in areas like emergency services, internet access, and rural connectivity.
High-performance, narrowband UHF SCADA radio
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John Yaldwyn, Chief Technology Officer, 4RF Australia
An optimum dynamic priority-based call admission control scheme for universal...
The dynamism associated with quality of service (QoS) requirement for traffic emanating from smarter end users devices founded on the internet of things (IoTs) drive, places a huge demand on modern telecommunication infrastructure. Most telecom networks, currently utilize robust call admission control (CAC) policies to ameliorate this challenge. However, the need for smarter CAC has becomes imperative owing to the sensitivity of traffic currently being supported. In this work, we developed a prioritized CAC algorithm for third Generation (3G) wireless cellular network. Based on the dynamic priority CAC (DP-CAC) model, we proposed an optimal dynamic priority CAC (ODP-CAC) scheme for Universal Mobile Telecommunication System (UMTS). We then carried out simulation under heavy traffic load while also exploiting renegotiation among different call traffic classes. Also, we introduced queuing techniques to enhance the new calls success probability while still maintaining a good handoff failure across the network. Results show that ODP-CAC provides an improved performance with regards to the probability of call drop for new calls, network load utilization and grade of service with average percentage value of 15.7%, 5.4% and 0.35% respectively.
Performance Analysis of Wireless Networks With MDQOS
In Wireless/Mobile networks various kinds of encoding schemes were used for transmission of data over a bandwidth. The desired quality and generated traffic varies with the requirement with this bandwidth. A generic video telephony may require more than 40 kbps whereas a low motion video telephony may require about 25 kbps for data transmission. From the designing point of view these requirements demands for an alternative resource planning, especially for bandwidth allocation in wireless networks. In wireless network where bandwidth is a scare resource, the system may need to block incoming user if all of the bandwidth has been used to provide highest quality of service to existing users. However this bandwidth resource planning may be unacceptable for larger application. A degradable approach to multiple users can be made on bandwidth allocation to reduce the blocking probability without degrading the quality of service to existing users.
This work aims towards a realization of a wireless/mobile network using W-CDMA multi access technique supporting multilevel quality of services. The bandwidth allocation to multiple users is adjusted dynamically according to the required network condition so as to increase bandwidth utilization. The work analyze the performance deriving the degradation period ratio, mean degradation time and degradation state for the implemented wireless network.The proposed work is aim to implement on Matlab tool for its functional verification considering various mobility patterns
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This document discusses using hybrid OFDM-DFMA PONs (orthogonal frequency division multiplexing—digital filter multiple access passive optical networks) to analyze and reduce timing jitter. It begins with background on OFDM communication systems and how they split bandwidth into smaller sub-bands using IFFT (Inverse Fast Fourier Transform) to reduce intersymbol interference. The document then presents the proposed system, which applies modulation, uses IFFT to convert signals to the time domain, and uses ICCSP (identical code cyclic shifted prefix) for parallel to serial conversion to obtain the channel signal. It discusses channel estimation and uses an AWGN (additive white Gaussian noise) channel model to introduce noise. The goal is to reduce timing jitter effects using
Wireless in local loop
This document defines and compares wireless local loop (WLL) networks to mobile systems. WLL uses wireless links to connect subscribers to local exchanges instead of copper cables, shortening construction periods and reducing costs. It is designed to serve subscribers at home or work with high voice quality and traffic support, unlike mobile systems meant for those on the move. The efficiency of WLL depends on factors like channel payload, signaling overhead, modulation, cell radius, and interference reduction techniques. Future technologies discussed include smart antennas, turbo codes, and multi-user detection to improve WLL network capacity.
High capacity optical
This document discusses technologies for improving the capacity of optical transport networks. It outlines how networks have evolved from 10G to 100G+ capacities through increased channel counts and complex modulation formats. Key technologies discussed for further improving capacity include space division multiplexing using multi-core or multi-mode fibers, superchannels that pack optical carriers more densely, and elastic optical networks that flexibly allocate spectrum. The document also discusses optimizing network efficiency through port virtualization and reducing transit traffic loads on routers.
NGN BASICS
- NGN provides a single IP-based network framework to support all telecommunication services, replacing separate legacy networks. This reduces costs and simplifies service provisioning.
- Key components include softswitches, media gateways, signaling gateways, and IP/MPLS core. Softswitches provide call control while gateways interface with legacy networks.
- Migration involves replacing legacy network elements with NGN elements over time while reusing existing infrastructure and ensuring equivalent service quality and capabilities.
Metro Network Transformation
The document discusses metro network transformation towards smart, high-capacity infrastructure through network disaggregation and the use of new technologies like software-defined coherent optics. It describes the benefits of disaggregation including flexibility, avoidance of vendor lock-in, and support for multi-vendor environments. Several industry approaches to disaggregated network management are presented, along with recent multi-vendor trials demonstrating interoperability. Compact reconfigurable optical add-drop multiplexers and coherent modulation are highlighted as key technologies enabling capacity and reach optimization in metro networks.
4 G Mobile Communication System
Fourth generation (4G) mobile communication systems aim to offer high-quality multimedia services anywhere, anytime by resolving issues with heterogeneous networks, interoperability between networks, and supporting new technologies like OFDM, software-defined radio, and MIMO. 4G will converge cellular networks with WiFi and digital broadcasting, allowing users access to broadband multimedia services at lower cost while providing operators with higher bandwidth and revenue. It is expected to launch by 2010 and fundamentally change wireless communications.
Thesis PresentationvFinal3
This document discusses resource allocation and quality of service (QoS) for cellular communications systems operating in congested environments. It proposes designing radio resource allocation (RRA) mechanisms that can optimize for meeting different traffic types' bit rate requirements while accounting for their elasticity behaviors. The author proves that relaxing real-time traffic utilities into a sigmoidal form leads to a convex optimization problem, allowing for efficient resource allocation. Large-scale simulations are performed to test the RRA mechanisms under realistic channel conditions and network deployments.
Similar to UAIPD 14-0005 (20)
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UAIPD 14-0005
- 1. UAIPD# 14-0005 Dr. Fei Hu Smart Spectrum Handoff for Multimedia over CRN
- 2. Current Problems • Spectrum handoff is the biggest headache to wireless network companies. – Multimedia applications are challenging due to multiple primary user interruptions and secondary users contentions. • Many networks cannot find a suitable spectrum handoff scheme for multimedia applications in complex radio environment. • Difficulty in finding an accurate queueing model to estimate the possible time of handoff delay.
- 3. • Smart-Learning-Based, Quality of Service (QoS) and Quality of Experience (QoE) driven, and spectrum handoff scheme for high quality transmission over Cognitive Radio Networks (CRN), which can smartly reuse any spectrum holes anytime, anywhere. • An available channel with the best expected QoE is chosen for the spectrum handoff managing the usage behaviors in CRNs with prioritized multimedia applications. Technology
- 4. • Minimum handoff delay is ensured through mixed preemptive and non-preemptive resume priority queueing model. • Maximizes the multimedia end-user satisfactions with the QoS + QoE driven handoff scheme. • Allows the performance of spectrum handoff to optimize in the long term by utilizing the current observed CRN environment state, past experiences, and performance feedback. • More reliable for video transmissions and other uses of multimedia applications. • Prioritized traffic model for handoff delay estimations. Advantages
- 5. • Dr. Fei Hu – Associate Professor – More than 200 publications – 2 patent applications • Departments – Center for Advanced Vehicle Technologies – Electrical and Computer Engineering Inventor fei@eng.ua.edu
- 6. Office for Technology Transfer 720 2nd Ct E Tuscaloosa, AL 35401 UAIPD 14-0005 OTT@UA.edu www.OTT.UA.edu
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