基于差分进化算法的认知无线电频谱分配

摘要

针对认知无线电系统中认知用户分配可用频谱问题，提出基于差分进化算法的认知无线电频谱分配算法。利用差分算法设置参数少、寻优能力强、不易于陷入局部最优等特点，得到可以使认知用户平均系统效益最大化的频谱分配方案。仿真结果表明，提出的算法不仅提高了用户平均系统效益，而且缩短了运行时间，提高了频谱分配效率。%According to the problem of spectrum allocation for secondary users in cognitive radio system, this paper puts forward the spectrum allocation algorithm based on the differential evolution algorithm. With less parameters, strong ability of finding global optimization solution and avoiding getting into local optimality of the differential evolution algorithm. The spectrum allocation scheme is got which can maximize the mean system utility. The simulation results show that the algorithm in this paper not only increases mean system utility of secondary users but also shortens running time and improves the efficiency of spectrum allocation.