基于改进PSO_GA联合算法的电力线多用户通信资源分配

Multiuser Resource Allocation of Power Line Communication Based on Enhanced PSO_GA

针对电力线信道在传输速率受限、子载波单用户独享和兼顾用户公平性的约束条件下,以余量自适应(MA)为准则,提出一种基于粒子群优化遗传(PSO_GA)联合算法的多用户自适应OFDM系统子载波和比特分配。在此联合算法中利用改进PSO算法中更新粒子速度和位置的思路来重构GA算法中的交叉、变异操作,可克服PSO算法早熟收敛、GA收敛速度慢等问题,能够提高联合算法对全局最优解的搜索能力及收敛速度。在典型电力线衰落信道下的实验结果表明,相比于已有的资源分配算法,基于所提联合算法的系统资源分配方案随着用户数增多,其收敛速度明显加快,且系统所需发射总功率最小,有效地提高了系统通信性能,从而充分证实了所提联合算法的有效性。

Under the conditions of minimum total power,required minimum rate of users and allocated minimum power for users,the PSO_GA hybrid algorithm based on particle swarm optimization（PSO）algorithm and genetic algorithm（GA）was proposed for the power line communication（PLC）multiuser orthogonal frequency division multiplexing（OFDM）system dynamic resource allocation.The hybrid algorithm effectively introduces the improved crossover operator and mutation operator from GA to PSO algorithm,so can improve the system＇s convergence speed.The hybrid algorithm was tested in the typical power line channels.Simulation results show that the proposed resource allocation scheme based on PSO_GA algorithm achieves faster convergence speed and better performance than the other schemes respectively based on the tradition algorithm.