EWA博弈抽象的认知无线电网络信道选择  

Channel Selection Based on EWA Game Abstraction in Cognitive Radio Network

作　　者：冯文江[1] 周超[1] 蒋卫恒[1] 

机构地区：[1]重庆大学通信工程学院,重庆400030

出　　处：《应用科学学报》2010年第6期580-584,共5页Journal of Applied Sciences

基　　金：国家自然科学基金(No.60872038);国家"211工程"创新人才培养计划基金(No.S-09102)资助

摘　　要：通过协作频谱感知对信道可用性进行分析,构建网络可用信道的优先度表.利用该优先度表,提出一种基于EWA学习博弈模型的信道选择算法.与基于学习自动机算法和无悔学习算法对比的仿真结果表明,该算法可通过历史经验的学习选择对认知用户可用性最优的信道,能提高系统的有效吞吐量,并获得更好的资源分配公平性.A priority table of available channels in a network is structured by analyzing channel availability with cooperative spectrum sensing.Using this table,a channel selection learning algorithm based on the experience-weight attraction（EWA） game learning is proposed.Simulations are carried out to compare the learning automata-based algorithm with no-regret learning algorithm.The results show that,by learning historical experience,the algorithm can select channels with the best availability for cognitive users,increase the effective system throughput,and have better equity in resource allocation.

关 键 词：认知无线电 EWA学习 信道优先度 效用函数 

分 类 号：TN929.5[电子电信—通信与信息系统]