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基于Stackbelberg博弈的认知无线网络速率控制模型 被引量：4

Cognitive wireless network rate control model on Stackelberg game
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摘要 提出了基于Stackelberg博弈的认知无线单跳网络流量速率控制模型。应用反向归纳法对提出的流量速率Stackelberg博弈模型纳什均衡进行了分析,证明了提出的模型纳什均衡存在性及唯一性,并给出了Stackelberg博弈模型纳什均衡解的具体形式。仿真验证了提出的模型正确性,仿真结果表明在模型的纳什均衡处网络总体效用是最优的,且网络效用最大时认知结点可获得最优数据传输速率。 Cognitive wireless single hop network rate control model on Stackelberg game is proposed. By applying me back- ward induction to analyse the Nash equilibrium, the existence and uniqueness of the proposed model＇ s Nash equilibrium are proved, and the Nash equilibrium＇ s specific expression of the Stackelberg game model is given. Simulation validates the correct- ness of the proposed model, simulation results show the utility is optimal at the Nash equilibrium point, and the cognitive user can achieve the optimal date rate on the Nash equilibrium point.
作者 冯慧斌 翁鲲鹏 余根坚
机构地区 闽江学院计算机科学系 富春通信股份有限公司通信技术研究院
出处 《计算机工程与应用》 CSCD 2013年第11期66-71,共6页 Computer Engineering and Applications
基金 国家自然科学基金(No.61163055) 福建省自然科学基金(No.2011J05155) 富春通信股份有限公司预研项目资助
关键词 STACKELBERG博弈 认知无线单跳网络 速率控制 Stackelberg game cognitive wireless single hoo network rate control
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献15

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同被引文献41

  • 1Trigui E,Esseghir M, Merghem-Boulahia L. A mobility scheme forcognitive radio networks [C]//Proc of the 12th Annual MediterraneanAd hoc Networking Workshop. 2013 :97-102.
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  • 3Tran T T,Quoe B, Vo Nfet al. Performance analysis and optimal relayposition of cognitive spectrum-sharing dual-hop decode-and-forwardnetworksf C]//Proc of International Conference on Computing,Mana-gement and Telecommunications. 2013:269-273.
  • 4Chen Gang,Zhong Wei,Tan Hua,et al. Best relay selection with inter-ference power constraint in cognitive relay networks [ C ] //Proc of the2nd International Conference on Computer Science and Network Tech-.
  • 5Cao Qian,Zhao H V,Jing Yindi. Relay power allocation and pricing inmulti-user relay networks using game theory[C]//Proc of IEEE Inter-national Conference on Acoustics, Speech and Signal Processing.2012:2893-2896.
  • 6Xu Yuhua,Wang Jinlong,Wu Qihui,et al. Opportunistic spectrum ac-cess in cognitive radio networks : global optimization using localinteraction games[J]. IEEE Journal of Selected Topics in SignalProcessing,2012,6(2) : 180-194.
  • 7Tang Jingmin, Yu Wei, Zhang Chunping, et al. Research the outageperformance in decode-and-forward cognitive system[ C ] //Proc of In-ternational Symposium on Instrumentation & Measurement, SensorNetwork and Automation. 2012 : 436-439.
  • 8CUI H X, WEI G,ZHANG H, et al. Utility-optimal cross- layer resource allocation in distributed wireless cooperative networks[ J ]. International Journal of Communication Sys- tems, 2014,27 (2) : 277 - 288.
  • 9KOSKIE S, GAJIC Z. A Nash game algorithm for sir-based power control in 3G wireless CDMA networks [ J]. IEEE/ ACM Transactions on Networking, 2005, 13 ( 5 ) : 1017 - 1026.
  • 10QIN Yanming,LIAO Cheng,WEI Tao, et al. Combination optimization method for ultra-wide band tem hom antenna array using micro-genetic algorithm [ C ]//ICMMT. 2008, 2:739 - 742.

引证文献4

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计算机工程与应用
2013年 第11期

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