通信学报 ›› 2014, Vol. 35 ›› Issue (3): 58-58.doi: 10.3969/j.issn.1000-436x.2014.03.007

• 学术论文 • 上一篇    下一篇

基于合作形成的认知无线网络频谱共享策略

谭雪松,林超,郭伟   

  1. 电子科技大学 通信抗干扰国家重点实验室,四川 成都 611731
  • 出版日期:2014-03-25 发布日期:2017-08-17
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家重点基础研究发展计划(“973计划”)基金资助项目;中央高校基本业务费基金资助项目

Spectrum sharing schemes in cognitive radio networks based on collusion formation

Xue-song TAN,Chao LIN,Wei GUO   

  1. National Key Laboratory of Science and Technology on Communication,University of Electronic Science and Technology of China,Chengdu 611731,China
  • Online:2014-03-25 Published:2017-08-17
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Basic Research Program of China (973 Program);The Fund for Central University of China

摘要:

当具备不同利益的多个主网络竞争为单个次级网络提供频谱接入机会时,它们可以通过基于重复博弈模型的频谱共享机制实现对授权通信频段的合作垄断,从而最大化它们的整体数据传输效用。然而当某个主网络对未来传输效用不够重视时,它会为了获得比垄断效用更高的传输效用而偏离当前的合作垄断,从而降低了其他主网络的当前和未来数据传输效用。为此,2种新的频谱共享策略被提出以促使所有主网络形成更为灵活和可靠的频谱共享合作垄断。数值仿真表明,相比现有的触发策略,这2种新策略能够为所有主网络获得更优的整体数据传输效用。

关键词: 频谱共享, 认知无线网络, 重复竞争, 纳什均衡, 合作

Abstract:

When multiple primary network (PN) with different interests competes to offer spectrum access opportunities for a single secondary network,a spectrum sharing scheme based on a repeated game model could be adopted to form a colluded monopoly for the licensed spectrum so as to maximize their total transmission utility.However,when a does not value its future transmission utility enough,it might choose to deviate from the present colluded monopoly to obtain a transmission utility larger than its monopoly utility,which then reduces the current and future transmission utilities of all other PN.Two new strategies were thereby proposed to produce a more flexible and credible spectrum sharing monopoly among all PN.Numerical simulation shows that,compared with the existing triggering strategy,the proposed strategies can effectively increase the overall transmission utility of all PN.

Key words: spectrum sharing, cognitive radio network, repeated competition, Nash equilibrium, collusion

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