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.
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)
关键词
认知车载网络
布谷鸟搜索算法
频谱分配
吞吐量
cognitive vehicular network
cuckoo search algorithm
spectrum allocation
throughput
