基于模拟退火粒子群算法的认知无线电功率分配

Cognitive Radio Power Allocation Based on Simulated Annealing Particle Swarm Optimization

随着无线通讯技术的普及,频谱资源紧缺的问题日益凸显。认知无线电技术是解决该问题的一种重要方法,是一种能有效利用频谱资源的新技术,它能有效利用频谱资源。针对认知无线电网络的频谱资源紧缺问题,研究了基于粒子群算法的功率控制技术,使用等温模拟退火粒子群(Synthermal Simulated Annealing Particle Swarm Optimization,SSAPSO)优化方法,最大化认知无线网络的系统容量。本文提出的算法与传统方法效果相比更好。

With the popularization of wireless communication technology,the shortage of spectrum resources has become increasingly prominent.Cognitive radio technology is an important method to solve this problem,and it is a new technology that can effectively use spectrum resources.In this paper,the power control technology based on particle swarm optimization algorithm is studied to solve the problem of spectrum shortage in cognitive radio networks.Synthermal Simulated Annealing Particle Swarm Optimization(SSAPSO)is used to maximize the system capacity of cognitive wireless networks.The proposed algorithm is more effective than the traditional method.