Multiuser Scheduling in Downlink MIMO Systems Using Particle Swarm Optimization

In this paper, a novel scheduling strategy based on particle swarm optimization (PSO) algorithm is proposed for the downlink of multiuser MIMO systems. By means of PSO searching mechanism, this scheduling algorithm mainly seeks the optimal "particle", i.e. the best scheduled user group, to maximize the system capacity. Besides, a new approach to associate the possible scheduled candidates by "particles" in PSO is also presented. Simulation results reveal that the proposed PSO strategy achieves nearly the same performance to the exhaustive search (ES) algorithm in terms of capacity performance, but with lower complexity. The convergence analysis is also presented to give a guideline in determining the parameters to keep the PSO convergent.