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一种新型的认知无线电合作频谱感知算法*
引用本文:曹开田,杨震. 一种新型的认知无线电合作频谱感知算法*[J]. 计算机应用研究, 2011, 28(3): 841-844. DOI: 10.3969/j.issn.1001-3695.2011.03.011
作者姓名:曹开田  杨震
作者单位:南京邮电大学,信号处理与传输研究院,南京,210003
基金项目:国家高科技发展规划项目(“863”计划);国家自然科学基金资助项目
摘    要:为了提高认知无线电频谱感知性能,同时考虑到不同认知用户SU(Secondary User)具有不同的感知贡献和谈判力量,该文利用合作博弈理论提出了一种新的基于认知无线电的合作频谱感知非对称纳什谈判算法ANBS(Asymmetric Nash Bargaining Solution),该算法充分考虑到了每一个认知用户的感知可信度不尽相同的情况。仿真结果表明,与NBS(Nash Bargaining Solution)等算法相比,该算法不仅具有更强的合理性和可靠性,而且使系统整体感知性能得到了较大提高。

关 键 词:认知无线电;合作频谱感知;合作博弈;非对称纳什谈判解;可信度
收稿时间:2010-08-17
修稿时间:2011-01-30

Novel cooperative spectrum sensing algorithm for cognitive radio
CAO Kai-tian,YANG Zhen. Novel cooperative spectrum sensing algorithm for cognitive radio[J]. Application Research of Computers, 2011, 28(3): 841-844. DOI: 10.3969/j.issn.1001-3695.2011.03.011
Authors:CAO Kai-tian  YANG Zhen
Affiliation:(Institute of Signal Processing & Transmission, Nanjing University of Posts & Telecommunications, Nanjing 210003, China)
Abstract:In order to improve the spectrum sensing performance, a new cooperative spectrum sensing algorithm ANBS (Asymmetric Nash Bargaining Solution) based on cooperative game theory was presented in this paper. The algorithm considered that different secondary users (SU) had different bargaining weights and different contributions to the final sensing result. In addition, the sensing creditability of each SU was fully taken into account in the proposed scheme. Simulation results show that the presented algorithm has the better rationality and stronger reliability compared to NBS (Nash Bargaining Solution) etc, and can greatly improve the system sensing performance.
Keywords:Cognitive radio   Cooperative spectrum sensing   Cooperative game   Asymmetric Nash Bargaining Solution (ANBS)   Creditability
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