摘要
针对认知无线电中以最大程度提高网络效益为目的的频谱分配问题,提出了一种基于麻雀搜索算法的改进算法。首先,考虑到种群多样性对实验结果的影响,利用透镜成像反向学习策略,在最优个体基础上产生新个体,进而继续寻优,来进一步提高算法的收敛精度;然后,采用变步长设计,在影响步长因素的关键参数中加入步长调整机制,可以调节局部精度和全局最优之间的平衡关系。再对种群中负责侦查预警的麻雀位置引入Levy飞行策略来更新其位置,有助于增强算法跳出局部极值能力和总体寻优的性能。最后,将改进的麻雀搜索算法应用于认知无线电的频谱分配问题,通过与遗传算法、粒子群算法、海鸥算法及基础麻雀搜索算法进行对比仿真表明,改进的麻雀搜索算法,相比于基础麻雀算法和其他算法,具有更高的网络效益和更快的收敛速度,可以达到有效改善频谱利用率的目的。
An improved algorithm based on sparrow search algorithm is proposed for spectrum allocation in cognitive radio aiming at maximizing network efficiency.Firstly,in view of the effect of population diversity on experimental results,the reverse learning strategy of lens imaging is used,new individuals are generated on the optimal individuals and continue to search for optimization to improve the convergence accuracy of the algorithm.Then,with variable step design,the step adjustment mechanism is added to the key parameters affecting the step size factor,which can adjust the balance relationship between local accuracy and global optimization.And the introduction of Levy flight strategies to update the positions of sparrows in the population responsible for reconnaissance and early warning can help enhance the algorithm’s ability to jump out of local extremes and overall optimization performance.Finally,an improved sparrow search algorithm is applied to cognitive radio spectrum allocation problem,and compared with genetic algorithm,particle swarm optimization algorithm,seagull algorithm and sparrow search algorithm.The results show that the improved sparrow search algorithm,compared with the basic sparrow algorithm and other algorithms,has higher network efficiency and faster convergence speed,which can effectively improve the spectrum utilization.
作者
张金飞
岳文静
陈志
ZHANG Jin-fei;YUE Wen-jing;CHEN Zhi(School of Telecommunication&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;School of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《计算机技术与发展》
2023年第1期95-100,共6页
Computer Technology and Development
基金
江苏省重点研发计划(社会发展)项目(BE2019739)
中兴通讯产学研合作基金项目(2021外381)。
