基于布谷鸟搜索算法的认知车载网络频谱分配方法  

Spectrum allocation based on cuckoo search algorithm in cognitive vehicular network

作　　者：刘彩丽[1] 肖海林[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：《桂林电子科技大学学报》2016年第3期173-177,共5页Journal of Guilin University of Electronic Technology

基　　金：广西自然科学基金重点项目(2011GXNSFD018028);广西自然科学基金(2013GXNSFFA019004)

摘　　要：针对认知车载网络频谱分配中网络吞吐量低的问题,提出一种基于布谷鸟搜索算法的频谱分配方法。该方法考虑了认知车载网络中授权频段可用时长的差异性,将最大化网络吞吐量转化为求最大化可用时长内认知车载用户成功完成的总数据量,建立目标函数,并将频谱分配变量映射为布谷鸟鸟巢位置,采用布谷鸟搜索算法求解。数值分析表明,基于布谷鸟搜索算法的频谱分配方法所获得的网络吞吐量高于基于遗传算法的频谱分配。To improve the network throughput in spectrum allocation of cognitive vehicular network,a spectrum allocation method based on cuckoo search algorithm is proposed.The method has considered the diversity of authorized spectrum available time,formulates the network throughput maximization as total data maximization problem of cognitive vehicular users successfully transmit in the time slot to establish objective function,and uses cuckoo search algorithm to solve it by mapping the spectrum allocation variables to the position of cuckoo＇s nest.Numerical simulation shows that compared with the genetic algorithm,the network throughput is improved.

关 键 词：认知车载网络 布谷鸟搜索算法 频谱分配 吞吐量 

分 类 号：TN929.5[电子电信—通信与信息系统]