基于改进人工鱼群算法的协作频谱感知用户选择策略  

User selection strategy based on improved artificial fish swarm algorithm for cooperative spectrum sensing

作　　者：栾磊[1,2] 赵晓晖[2] 徐勇军[2] 

机构地区：[1]空军大连通信士官学校,辽宁大连116199 [2]吉林大学通信工程学院,吉林长春130012

出　　处：《无线互联科技》2014年第9期156-157,184,共3页Wireless Internet Technology

基　　金：国家自然科学基金资助项目;项目名称:基于控制论和矩阵摄动理论的认知无线电系统动态资源分配问题研究;项目编号:61171079

摘　　要：选择次用户是协作频谱感知的一个关键环节。针对次用户选择问题的特点,在基本人工鱼群算法AFSA基础上,通过取消鱼群密度、取消人工鱼的随机游动、改变公告板记录规则、保留每次迭代最优位置、增加最优人工鱼的觅食次数并缩小视野提出改进的人工鱼群算法次用户选择策略。仿真结果表明,对于最优次用户组选择问题,本文提出的修正AFSA在寻优成功率和运行时间等方面优于传统的AFSA。The selection of secondary users is the key technology in cooperation spectrum sensing. For thecharacteristics of user selection, based on the basic artificial fish swarm algorithm （AFSA）, an improved AFSAis proposed to achieve the optimal user selection by cancelling fish swarm density and random mobility ofartificial fish, changing the record rules of bulletin board, retaining the optimal position of each iteration,increasing feeding times of optimal artificial fish, and decreasing search vision. Simulation results showthat, for the problem of optimal user selection, the proposed algorithm outperforms the traditional AFSAsubject to the rate of searching the optimization solution and run-time.

关 键 词：认知无线电 协作频谱感知 用户选择 人工鱼群算法 

分 类 号：TN925[电子电信—通信与信息系统]