A cross-layer approach in enabling multimedia transmission over cognitive UWB network

The demand of quality of service (QoS) for multimedia transmission over wireless network raises huge challenges such as time-varying channel conditions, limited resources, tight delay constraints, high bandwidth demand and complex protocol design. Layered design is proven to perform well in wired ne...

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Main Authors: Mohd Aripin N., Fisal N., Rashid R.A.
Other Authors: 35092180800
Format: Conference paper
Published: 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-305062023-12-29T15:48:37Z A cross-layer approach in enabling multimedia transmission over cognitive UWB network Mohd Aripin N. Fisal N. Rashid R.A. 35092180800 16021700100 15021455100 cognitive UWB network Cross-layer mutimedia Design Mobile computing Multimedia systems Quality of service Resource allocation Time varying networks Wireless telecommunication systems Adaptive quantization Adaptive resource allocations Cognitive UWB cognitive UWB network Complex protocols Cross-layer Cross-layer approach Cross-layer design Delay constraints Failure rate High bandwidth Layered design Multimedia transmissions mutimedia Q-values Simulation result Time-varying channel conditions Video quality Wired networks Wireless medium Wireless networks The demand of quality of service (QoS) for multimedia transmission over wireless network raises huge challenges such as time-varying channel conditions, limited resources, tight delay constraints, high bandwidth demand and complex protocol design. Layered design is proven to perform well in wired networks. However, doing so is not suitable in wireless networks due to the dynamics in wireless medium. On top of that, sensing activity should also be considered explicitly in cognitive UWB network to avoid interference with the primary users. In this paper, a new cross layer design (CLD) approach is proposed to achieve the goal of improving the received video quality while minimizing the packet loss. The proposed CLD consists of sensing module, adaptive resource allocation module and adaptive quantization scale module. Simulation results showed that the proposed CLD reduced the job failure rate (JFR) significantly when compared to the non-CLD approach, basic CLD, PRR based resource allocation (PRR-RA) with queue insensitive and PRR-RA with queue sensitive-fixed Q-value. � 2011 IEEE. Final 2023-12-29T07:48:37Z 2023-12-29T07:48:37Z 2011 Conference paper 10.1109/IWCMC.2011.5982567 2-s2.0-80052512313 https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052512313&doi=10.1109%2fIWCMC.2011.5982567&partnerID=40&md5=72b61d75027a9500d51177ad81890a22 https://irepository.uniten.edu.my/handle/123456789/30506 5982567 400 405 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic cognitive UWB network
Cross-layer
mutimedia
Design
Mobile computing
Multimedia systems
Quality of service
Resource allocation
Time varying networks
Wireless telecommunication systems
Adaptive quantization
Adaptive resource allocations
Cognitive UWB
cognitive UWB network
Complex protocols
Cross-layer
Cross-layer approach
Cross-layer design
Delay constraints
Failure rate
High bandwidth
Layered design
Multimedia transmissions
mutimedia
Q-values
Simulation result
Time-varying channel conditions
Video quality
Wired networks
Wireless medium
Wireless networks
spellingShingle cognitive UWB network
Cross-layer
mutimedia
Design
Mobile computing
Multimedia systems
Quality of service
Resource allocation
Time varying networks
Wireless telecommunication systems
Adaptive quantization
Adaptive resource allocations
Cognitive UWB
cognitive UWB network
Complex protocols
Cross-layer
Cross-layer approach
Cross-layer design
Delay constraints
Failure rate
High bandwidth
Layered design
Multimedia transmissions
mutimedia
Q-values
Simulation result
Time-varying channel conditions
Video quality
Wired networks
Wireless medium
Wireless networks
Mohd Aripin N.
Fisal N.
Rashid R.A.
A cross-layer approach in enabling multimedia transmission over cognitive UWB network
description The demand of quality of service (QoS) for multimedia transmission over wireless network raises huge challenges such as time-varying channel conditions, limited resources, tight delay constraints, high bandwidth demand and complex protocol design. Layered design is proven to perform well in wired networks. However, doing so is not suitable in wireless networks due to the dynamics in wireless medium. On top of that, sensing activity should also be considered explicitly in cognitive UWB network to avoid interference with the primary users. In this paper, a new cross layer design (CLD) approach is proposed to achieve the goal of improving the received video quality while minimizing the packet loss. The proposed CLD consists of sensing module, adaptive resource allocation module and adaptive quantization scale module. Simulation results showed that the proposed CLD reduced the job failure rate (JFR) significantly when compared to the non-CLD approach, basic CLD, PRR based resource allocation (PRR-RA) with queue insensitive and PRR-RA with queue sensitive-fixed Q-value. � 2011 IEEE.
author2 35092180800
author_facet 35092180800
Mohd Aripin N.
Fisal N.
Rashid R.A.
format Conference paper
author Mohd Aripin N.
Fisal N.
Rashid R.A.
author_sort Mohd Aripin N.
title A cross-layer approach in enabling multimedia transmission over cognitive UWB network
title_short A cross-layer approach in enabling multimedia transmission over cognitive UWB network
title_full A cross-layer approach in enabling multimedia transmission over cognitive UWB network
title_fullStr A cross-layer approach in enabling multimedia transmission over cognitive UWB network
title_full_unstemmed A cross-layer approach in enabling multimedia transmission over cognitive UWB network
title_sort cross-layer approach in enabling multimedia transmission over cognitive uwb network
publishDate 2023
_version_ 1806426693939757056