计算机应用研究2017，Vol.34Issue(10)：3116-3120,5.DOI:10.3969/j.issn.1001-3695.2017.10.052
基于量子果蝇优化的认知无线网络频谱分配
Spectrum allocation based on quantum fruit fly optimization algorithm in cognitive radio network
摘要
Abstract
The binary codes of spectrum allocation transformed into quantum sequences,this paper proposed a spectrum allocation based on quantum fruit fly optimization.Firstly,it transformed the fruit fly optimization algorithm into the quantum fruit fly optimization algorithm,to expand the range of application of the FOA.And then,it improved the QFOA by operations which were selection,crossover and mutation.It improved the convergence rate,increased the sample population diversity,avoided the algorithm falling into local optimum,and so on.Next,it used the improved QFOA to search the quantum sequences of spectrum allocation,sought the network utility or user fairness and obtained the spectrum allocation strategy which gained the best network performance.The simulation shows that the improved QFOA has fast convergence rate and strong ability of avoiding local optimum.And the utilization of network resources is increased,the network performance is improved,after using the algorithm for spectrum allocation in cognitive radio network.关键词
认知无线网络/频谱分配/网络效益/用户公平性/量子果蝇优化算法Key words
cognitive radio network(CRN)/spectrum allocation/network utility/user fairness/quantum fruit fly optimization algorithm分类
信息技术与安全科学引用本文复制引用
徐同伟,何庆,吴意乐,易丹..基于量子果蝇优化的认知无线网络频谱分配[J].计算机应用研究,2017,34(10):3116-3120,5.基金项目
贵州省科技厅基金资助项目(黔科合LH字[2014]7628,黔科合J字[2012]2171) （黔科合LH字[2014]7628,黔科合J字[2012]2171）
贵州大学博士基金资助项目(贵大人基合字[2010]010) （贵大人基合字[2010]010）
贵州大学研究生创新基金资助项目(研理工2016066) （研理工2016066）
