认知无线网络中一种非合作博弈功率控制算法  

A Power Control Algorithm Based on Non-cooperative Game Theory for Cognitive Radio Networks

作　　者：朱江[1] 巴少为 杜清敏[1] 

机构地区：[1]重庆邮电大学移动通信技术重庆市重点实验室,重庆400065

出　　处：《电讯技术》2016年第12期1301-1309,共9页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(61102062);教育部科学技术研究重点项目(212145);重庆市科委自然科学基金资助项目(cstc2015jcyj A40050);重庆市教委科学技术研究项目(KJ120530)~~

摘　　要：针对现有的功率控制算法中存在的干扰问题和功率消耗过大问题,设计出一种新的效用函数,并根据此效用函数提出了一个基于非合作博弈的新的功率控制算法。首先,在效用函数中分别为信干噪比和功率设定了不同的代价因子,并将信道状态概念引入到代价因子里面,使其能够更加合理地控制用户,避免用户过度增加发射功率,同时减小了用户间的干扰;其次,证明了该算法纳什均衡的存在性和唯一性;最后,给出了所提算法的流程图。仿真结果表明,与Nash算法相比,在保证非授权用户服务质量(Qo S)前提下,该算法功率消耗明显降低,并且具有较好的抗背景噪声性能;与K-G(Koskie-Gajic)算法相比,该算法保证了所有的用户的信干噪比满足上下限阈值要求,并且提高了系统容量。To deal with the problems of interference and large power- consumption in the existing power control algorithms,a new utility function is proposed and then a novel power control algorithm based on non- cooperative game theory is deduced. Firstly,the cost factors for signal- to- interference- noise ratio( SINR) and power are set respectively,and channel status is introduced into the cost factors so as to control transmission power reasonably and reduce the interference among users. Then,the existence and uniqueness of the Nash Equilibrium( NE) in the utility function are proved. Finally,the flowchart of the proposed algorithm is presented. Simulation results show that,compared with Nash algorithm,the proposed one can reduce the power consumption effectively and achieve better anti- noise effect; compared with Koskie- Gajic( K- G) algorithm,the proposed one ensures the user's SINR to meet the required threshold value and improves the total throughput.

关 键 词：认知无线电 功率控制 博弈论 信道状态 

分 类 号：TN929.5[电子电信—通信与信息系统]