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一种联合中继节点选择的博弈功率控制算法

吴丹 蔡跃明 潘成康 盛雁鸣 徐友云

吴丹, 蔡跃明, 潘成康, 盛雁鸣, 徐友云. 一种联合中继节点选择的博弈功率控制算法[J]. 电子与信息学报, 2009, 31(12): 2829-2833. doi: 10.3724/SP.J.1146.2008.01654
引用本文: 吴丹, 蔡跃明, 潘成康, 盛雁鸣, 徐友云. 一种联合中继节点选择的博弈功率控制算法[J]. 电子与信息学报, 2009, 31(12): 2829-2833. doi: 10.3724/SP.J.1146.2008.01654
Wu Dan, Cai Yue-ming, Pan Cheng-kang, Sheng Yan-ming, Xu You-yun. A Game-theoretical Power Control Algorithm with Relay Selection[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2829-2833. doi: 10.3724/SP.J.1146.2008.01654
Citation: Wu Dan, Cai Yue-ming, Pan Cheng-kang, Sheng Yan-ming, Xu You-yun. A Game-theoretical Power Control Algorithm with Relay Selection[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2829-2833. doi: 10.3724/SP.J.1146.2008.01654

一种联合中继节点选择的博弈功率控制算法

doi: 10.3724/SP.J.1146.2008.01654
基金项目: 

国家自然科学基金(60672079),东南大学移动通信国家重点实验室开放研究基金(N200814)和江苏省自然科学基金(BK2007002)资助课题

A Game-theoretical Power Control Algorithm with Relay Selection

  • 摘要: 有效的资源分配在协同通信中占有举足轻重的地位,鉴于此,该文研究了其中的中继节点选择和功率控制问题,提出了一种联合中继节点选择的博弈功率控制算法。它的主要思想是从各节点信噪比的角度建立收益函数,并具体针对源节点和中继节点建立不同的代价函数。在认为每个节点都负责的前提下,通过调整各节点功率达到各自效用的最大化,并依据中继节点发送功率的策略空间,优化参与协同的中继节点集合。同时,该文还对纳什均衡的性能进行了数学分析。从仿真结果可以看出,所提算法在复杂度可接受的前提下,能使各节点间的功率得到合理有效的使用,确能改善系统性能。
  • Bletsas A, Shin H, and Win M Z. Outage optimality ofopportunistic amplify-and-forward relaying. IEEECommunications Letters, 2007, 11(3): 261-263.[2]Zhao Y, Adve R, and Lim T J. Symbol error rate of selectionamplify-and-forward relay systems. IEEE CommunicationsLetters, 2006, 10(11): 757-759.[3]Simie L, Berber S M, and Somerby K W. Partner choice andpower allocation for energy efficient cooperation in wirelesssensor networks. IEEE ICC 2008, Beijing, China, May 2008:4255-4260.[4]Bletsas A, Reed D P, and Lippman A. A simple cooperativediversity method based on network path selection[J].IEEEJournal on Selected Areas in Communications.2006, 24(3):659-672[5]Lin Z, Erkip E, and Stefanov A. Cooperative regions andpartner choice in coded cooperative systems[J].IEEETransactions on Communications.2006, 54(7):1323-1334[6]Luo J, Blum R S, Cimini L J, and Greenstein L J.Decode-and-forward cooperative diversity with powerallocation in wireless networks[J].IEEE Transactions onWireless Communications.2007, 6(3):793-799[7]Deng X and Haimovich A M. Power allocation forcooperative relaying in wireless networks. IEEECommunications Letters, 2005, 9(11): 994-996.[8]Zhao Y, Adve R, and Lim T J. Improvingamplify-and-forward relay networks: optimal powerallocation versus selection. IEEE Transactions on WirelessCommunications, 2007, 6(8): 3114-3123.[9]Cai J, Shen X, Mark J W, and Alfa A S. Semi-distributeduser relaying algorithm for amplify-and-forward wirelessrelay networks. IEEE Transactions on WirelessCommunications, 2008, 7(4): 1348-1357.[10]Wang B, Han Z K, and Liu J R. Distributed relay selectionand power control for multiuser cooperative communicationnetworks using buyer/seller game. INFOCOM 2007, Alaska,USA, May 2007: 544-552.[11]Huang Jian-wei, Han Zhu, Chiang Mung, and Vincent PoorH. Auction-based resource allocation for cooperativecommunications[J].IEEE Journal on Selected Areas inCommunications.2008, 26(7):1226-1237[12]Xiao M, Shroff N B, and Chong E K P. A utility-basedpower-control scheme in wireless cellular systems[J].IEEE/ACM Transactions on Networking.2003, 11(2):210-221[13]MaKenzie A and DaSilva L. Game Theory for WirelessEngineers. San Francisco.[J].USA: Morgan Claypoolpublishers.2006,:-[14]Boyd S and Lieven Vandenberghe. Convex Optimization.Cambridge, Britain: Cambridge university press, 2004,Chapter 2.[15]Saraydar C, Mandayam N B, and Goodman D J. Efficientpower control via pricing in wireless data networks. IEEETransactions on Wireless Communications, 2002, 50(2):291-303.[16]Rappaport T S. Wireless communications principles andpractice. Second Edition, Beijing, China: Publishing House ofElectronics Industry, 2004, 3: 95.
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出版历程
  • 收稿日期:  2008-12-08
  • 修回日期:  2009-05-11
  • 刊出日期:  2009-12-19

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