基于干扰权限交易的认知无线电网络功率控制算法  

Interference Right Trading-Based Power Control Algorithm of Cognitive Radio Networks

作　　者：邓小芳[1,2] 官权升[1] 林伟辉 姜胜明[3] 

机构地区：[1]华南理工大学电子与信息学院,广东广州510640 [2]桂林电子科技大学信息与通信学院,广西桂林541004 [3]上海海事大学信息工程学院,上海201306

出　　处：《华南理工大学学报（自然科学版）》2015年第9期34-38,46,共6页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61302058);国家"973"计划项目(2011CB707003);华南理工大学中央高校基本科研业务费专项资金资助项目(2014ZZ0030)~~

摘　　要：为提高认知无线通信系统频谱利用率和系统工作公平性,最大化授权用户和认知用户的经济效益,引入基于非合作博弈的干扰权限交易机制,提出了一种基于干扰权限交易的认知无线电网络功率控制算法.该算法允许授权用户在保证最低干扰门限的基础上交易其干扰权限,并对认知用户征收干扰价格来补偿其通信质量的降低.通过价格杠杆原理,授权用户和认知用户、认知用户和认知用户对干扰价格和发射功率进行非合作博弈,并且干扰价格和发射功率收敛于纳什均衡点.仿真结果表明,文中所提算法比传统算法具有更好的系统公平性和实用性.In order to promote the fairness and spectrum efficiency of cognitive radio networks （CRNs）and to max-imize the utility of primary user （PU）and secondary users （SUs）,this paper introduces a game-based non-cooper-ation trading mechanism,and proposes an interference right trading-based power control algorithm of cognitive radio networks.In the algorithm,PUs that has satisfied their own minimum interference threshold are allowed to trade their interference rights （IRs）,and the interference price is imposed on SUs to earn income as the compensation for the degradation of QoS.Moreover,through the principle of price lever,the non-cooperative game among SUs as well as between PUs and SUs are performed in terms of the interference price and the transmitting power,and thus the interference price and the transmitting power eventually converge to a Nash equilibrium point.Simulation results show that the proposed algorithm is more fair and practical than the traditional one.

关 键 词：认知无线电网络 干扰权限 功率控制 

分 类 号：TN929.5[电子电信—通信与信息系统]