认知网络中基于用户需求的功率控制算法研究  

Research on power control algorithm based on user requirements in cognitive networks

作　　者：邓小芳[1] 夏伟伟[1] 赵峰[1] 

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004

出　　处：《计算机应用研究》2016年第1期174-177,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61172055);国家"973"计划资助项目(2011CB707003)

摘　　要：为了解决认知网络功率控制问题,根据非合作博弈论和干扰温度,设计出一种新型效用函数。该函数综合考虑授权用户和认知用户功率分配的要求,满足用户需求。并通过此效用函数提出一个基于非合作博弈论的新颖功率控制算法,分析了该算法的收敛性、纳什均衡解的存在性和唯一性。仿真结果表明,该算法在保证认知用户需求前提下,传输功率更加合理,体现出算法的有效性和公平性。与参考算法相比,节省了30.12%的功耗,并且具有较好的抗背景噪声。最后,与Koskie-Gajic(KG)算法相比,该算法具有较大的网络容量。To resolve the problem that the power control of cognitive network, according to non-cooperative game theory, and interference temperature, this paper proposed a new utility function considering the power distribution requirements of primary users（PUs） and secondary users（SUs）. It deduced a novel power control algorithm based on non-cooperative game theory. It also proved its convergence and the existent and unique of the Nash equilibrium. Simulation shows that this algorithm is effec- tiveness and fairness which can stratify the SINR demands and make secondary users have proper transmission power levels. Compared with the referenced algorithm, it not only can save 30.12% power consumption and achieve better anti-noise effect, but also have better capacity relative to Koskie-Gajie （KG） algorithm.

关 键 词：认知网络 功率控制 干扰温度 博弈论 

分 类 号：TN915[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]