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针对两跳多输入多输出正交频分复用(MIMO-OFDM,Multiple-Input Multiple-Output-orthogonal frequency division multiplex)中继通信系统的最优功率分配问题,提出了基于改进粒子群算法(PSO,Partical Swarm Optimization)的分配方案。在约束总发射功率的情况下,利用粒子群算法设置参数少、收敛速度快、全局寻优能力强等特点,将其改进后引入到两跳MIMO-OFDM中继通信系统的最优功率分配中。仿真结果表明,与现有的分配方法相比,改进粒子群算法在同等条件下能更有效地分配功率,提升系统容量,增强系统的传输能力。
In order to solve the optimal power allocation problem in two-hop MIMO-OFDM system, a novel PSO (Particle Swarm Optimization) algorithm based on improved Particle Swarm Optimization Partical Swarm Optimization). Under the circumstance of the total transmit power, the PSO algorithm is characterized by few parameters, fast convergence speed and strong global search ability. The proposed algorithm is introduced into the optimal power allocation of two-hop MIMO-OFDM relay communication system . The simulation results show that compared with the existing distribution methods, the improved PSO can allocate power more efficiently, improve the system capacity and enhance the transmission capacity of the system under the same conditions.