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具有不同的感知贡献和谈判力量,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,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,与纳什谈判等算法相比,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。
In order to improve the spectrum sensing performance,this paper presented a new cooperative spectrum sensing algorithm ANBS(asymmetric Nash bargaining solution) based on cooperative game theory.The algorithm considered that diffe-rent secondary users(SU) had different bargaining weights and different contributions to the final sensing result.In addition,the proposed scheme fully took into account the sensing creditability of each SU.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.
出处
《计算机应用研究》
CSCD
北大核心
2011年第3期841-844,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60772062
61071092)
国家"863"计划资助项目(2009AA01Z241)
南京邮电大学校科研基金资助项目(NY210035)