基于BPSO的能量采集认知无线电频谱分配

Energy harvesting cognitive radio spectrum allocation based on BPSO

针对认知无线电面对的频谱利用率低下以及出现的能源供给问题,文章提出了一种基于认知用户优先级的认知无线电频谱分配模型。当认知用户在采用能量采集(Energy Harvesting,EH)供电驱动,能源供给不足时认知用户具有休眠概率的特性。同时文章提出一种单频谱最大效益的概念。为了提高频谱分配的总体效益,文章将休眠特性和单频谱最大效益引入到模型中,提出了一种基于认知用户优先级的分配模型。然后采用二进制粒子群算法对改进后的频谱分配模型进行求解。仿真结果表明,文章提出的基于认知用户优先级的改进模型能够使频谱分配的总体效益提高9%。

Cognitive radio faces low spectrum utilization and energy supply problems.In this paper,a cognitive radio spectrum allocation model based on cognitive user priority is proposed.Cognitive users who use energy acquisition for power supply have the characteristic of dormancy probability when energy supply is insufficient.At the same time,a concept of maximum benefit of single spectrum is proposed.In order to improve the total benefit of spectrum allocation,the sleeping probability and the maximum benefit of single spectrum are introduced into the model,and a cognitive user priority allocation model is proposed.Then the improved spectrum allocation model is solved by using binary particle swarm optimization(BPSO).The simulation results show that the improved model based on cognitive user priority proposed in this paper can effectively improve the overall benefit of spectrum allocation.