Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions

<p/> <p>This paper presents an optimal and fair strategy for multiuser multimedia radio resource allocation (RRA) based on coopetition, which suggests a judicious mixture of competition and cooperation. We formulate the co-opetition strategy as sum utility maximization at constraints fro...

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Main Authors: Guan Zhangyu, Yuan Dongfeng, Zhang Haixia
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2009/801613
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author Guan Zhangyu
Yuan Dongfeng
Zhang Haixia
author_facet Guan Zhangyu
Yuan Dongfeng
Zhang Haixia
author_sort Guan Zhangyu
collection DOAJ
description <p/> <p>This paper presents an optimal and fair strategy for multiuser multimedia radio resource allocation (RRA) based on coopetition, which suggests a judicious mixture of competition and cooperation. We formulate the co-opetition strategy as sum utility maximization at constraints from both Physical (PHY) and Application (APP) layers. We show that the maximization can be solved efficiently employing the well-defined Layering as Optimization Decomposition (LOD) method. Moreover, the coopetition strategy is applied to power allocation among multiple video users, and evaluated through comparing with existing- competition based strategy. Numerical results indicate that, the co-opetition strategy adapts the best to the changes of network conditions, participating users, and so forth. It is also shown that the coopetition can lead to an improved number of satisfied users, and in the meanwhile provide more flexible tradeoff between system efficiency and fairness among users.</p>
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spelling doaj.art-606459ceb7f44b7c8d4f039fc263f1c62022-12-21T19:48:22ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992009-01-0120091801613Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia TransmissionsGuan ZhangyuYuan DongfengZhang Haixia<p/> <p>This paper presents an optimal and fair strategy for multiuser multimedia radio resource allocation (RRA) based on coopetition, which suggests a judicious mixture of competition and cooperation. We formulate the co-opetition strategy as sum utility maximization at constraints from both Physical (PHY) and Application (APP) layers. We show that the maximization can be solved efficiently employing the well-defined Layering as Optimization Decomposition (LOD) method. Moreover, the coopetition strategy is applied to power allocation among multiple video users, and evaluated through comparing with existing- competition based strategy. Numerical results indicate that, the co-opetition strategy adapts the best to the changes of network conditions, participating users, and so forth. It is also shown that the coopetition can lead to an improved number of satisfied users, and in the meanwhile provide more flexible tradeoff between system efficiency and fairness among users.</p>http://jwcn.eurasipjournals.com/content/2009/801613
spellingShingle Guan Zhangyu
Yuan Dongfeng
Zhang Haixia
Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions
EURASIP Journal on Wireless Communications and Networking
title Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions
title_full Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions
title_fullStr Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions
title_full_unstemmed Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions
title_short Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions
title_sort optimal and fair resource allocation for multiuser wireless multimedia transmissions
url http://jwcn.eurasipjournals.com/content/2009/801613
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AT yuandongfeng optimalandfairresourceallocationformultiuserwirelessmultimediatransmissions
AT zhanghaixia optimalandfairresourceallocationformultiuserwirelessmultimediatransmissions