期刊文献+

认知无线电中基于非合作博弈的功率控制算法 被引量:4

A power control algorithm based on non-cooperative game in cognitive radio
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摘要 针对认知无线电中的功率控制问题,基于非合作博弈模型,提出了一种新的效用函数,证明了该博弈中纳什均衡的存在性和唯一性。设计了一种分布式功率控制算法并证明了其收敛性。讨论了几个参数对系统性能的影响。仿真表明,该算法可实现对认知用户发射功率的有效控制。与SINR平衡算法和Koskie-Gajic算法相比,本算法既保障了每个认知用户的QoS需求,又增加了系统吞吐量。 Aiming at the power control in cognitive radio, a new utility function is presented based on a non-cooperative game model and the existence and uniqueness of the Nash equilibrium in the game are proved. A distributed power control is designed, and its convergence is proved. Several parameters' effects on the system performance are discussed. Simulations demonstrate that this algorithm can control the secondary users' power effectively. Compared with the SINR-balance algorithm and Koskie-Gajic algorithm, this algorithm not only guarantees the secondary users' QoS, but also increases the system throughput.
出处 《电子技术应用》 北大核心 2008年第4期110-114,共5页 Application of Electronic Technique
基金 国家高技术研究发展863计划资助项目(2005AA123910) 陕西省自然科学基金资助项目(2006F41) 陕西省科技攻关计划项目(2005K04-G11)
关键词 功率控制 认知无线电 非合作博弈 效用函数 power control cognitive radio non-cooperative game utility function
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参考文献9

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同被引文献36

  • 1曾玲,黄益盛.无线传感器网络的安全保密技术研究[J].信息安全与通信保密,2007,29(8):83-84. 被引量:4
  • 2Mitola J.Cognitive radio: making software radios more personal[J].IEEE Personal Communication, 1999, 6 (4) : 13-18.
  • 3Jondral F K.Cognitive radio: a communications engineering view[J].IEEE Wireless Communications,2007,14(4) :28-33.
  • 4Foschini G J, Miljanic Z.A simple distributed autonomous power control algorithm and its convergence[J].IEEE Trans- actions on Vehicular Technology, 1993,42(4) :641-646.
  • 5Koskie S, Gajic Z.A nash game algorithm for SINR-based power control in 3G wireless CDMA networks[J].IEEE/ ACM Transactions on Networking, 2005,13 (5) : 1017-1026.
  • 6Goodman D, Mandayam N.Power control for wireless data[J].IEEE Personal Communication,2000,7(2):48-54.
  • 7Saraydar C, Mandayam N B, Goodman D J.Efficient power control via pricing in wireless data networks[J]. IEEE Trans on Communication, 2002,50 (2) : 291-303.
  • 8Liu Lixia.Power control algorithm based on new-style utility function in cognitive system[C]//Computer Appli- cation and System Modeling(ICCASM),2010.
  • 9Wu Shuang, Xu Wang, Liu Jian.A power control game via new pricing with dynamic coefficient in cognitive radio[C]// Communications and Mobile Computing(CMC), 2011.
  • 10Cheng Shilun, Zhen Yang.Energy-efficient power control game for cognitive radio systems[J].IEEE Computer Society, 2007,1 (30) : 526-530.

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