基于多态蚁群优化算法的认知无线电动态频谱接入策略  

Dynamic spectrum access strategy based on improved polymorphic ant colony algorithm in cognitive radio

作　　者：滕志军[1,2] 滕利鑫 谢露莹 曲福娟 TENG Zhijun;TENG Lixin;XIE Luying;QU Fujuan(Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, Jilin 132012, China;School of Electrical Engineering, Northeast Electric Power University, Jilin, Jilin 132012, China)

机构地区：[1]东北电力大学,现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林吉林132012 [2]东北电力大学电气工程学院,吉林吉林132012

出　　处：《江苏大学学报（自然科学版）》2020年第2期230-236,共7页Journal of Jiangsu University：Natural Science Edition

基　　金：国家自然科学基金青年科学基金资助项目(61501107);吉林省教育厅“十三五”科学研究规划项目(JJKH20180439KJ)。

摘　　要：为尽可能提高系统的网络收益及网络资源的利用率,针对原有蚁群算法搜索时间长、收敛速度慢及信息素单一等问题,提出一种基于时间效率的多态蚁群优化算法,借助信息素的增强型积累,为蚁群算法中蚂蚁的行动提供依据,并将其运用到认知无线电动态频谱接入中.以最大网络公平性和网络收益总和作为目标函数的仿真试验表明:改进后的算法能显著地提高系统的网络效益,保证系统的公平性,与此同时,节省了认知用户的搜索时间,使认知用户能更快速地接入可用信道,改进后的算法在加快收敛速度的同时,使得系统吞吐量也显著增加,提升了系统的整体性能.To improve the network profit of system and the utilization of network resources as much as possible,the polymorphic ant colony optimization algorithm was proposed based on time efficiency to solve the existing problems with long searching time,slow convergence speed and single pheromone of original ant colony algorithm.With the enhancement of pheromone accumulation,a basis was provided for the ant action in the ant colony algorithm and applied into the dynamic spectrum access in cognitive radio.The simulation results show that the improved algorithm can improve the network efficiency and ensure the system fairness evidently,and the search time of cognitive users is saved to make cognitive users access the available spectrum more quickly.The improved algorithm not only speeds up the convergence speed,but also increases the system throughput significantly,which improves the overall performance of the system.

关 键 词：多态蚁群算法 认知无线电 频谱分配 时间效率 转移概率 

分 类 号：TN92[电子电信—通信与信息系统]