基于粒子群算法的多用户OFDM系统自适应资源分配

ADAPTIVE RESOURCE ALLOCATION IN MULTI-USER OFDM SYSTEM BASED ON PARTICLE SWARM OPTIMISATION

在分析多用户OFDM系统模型的基础上,得出多用户OFDM系统的自适应资源分配的目标函数,然后利用粒子群优化算法对其进行了优化。为了提高粒子群优化算法的全局收敛性的收敛速度,将禁忌搜索策略和变异操作引入到基本粒子群优化算法之中。仿真结果表明,改进的粒子群优化算法可以非常有效地解决多用户OFDM系统自适应资源分配问题。

Based on the analysis of multi-user OFDM system model,we obtain the objective function of the adaptive resource allocation and then optimise it using particle swarm optimisation（PSO）.In order to accelerate the convergence speed of global search ability of PSO,we introduce tabu search strategy and mutation operation into PSO.Simulation results show that the improved particle swarm optimisation can very effectively solve the adaptive resource allocation issue in multi-user OFDM system.