Particle-Swarm-Optimization-Based Multiuser Detector for Multicarrier CDMA Communications

Multi-carrier code division multiple access (MCCDMA) mobile communication systems targets to overcome the multi-path fading influences and to increase system capacity. In this paper, we present a modified version of evolutionary algorithm, called as Particle swarm optimization (PSO) which quickly converges to global optimal solution. This algorithm is used to develop a suboptimal multi-user detection (MUD) strategy for MC-CDMA systems. More specifically, after getting the initial population from the front-end frequency domain maximal ratio combining (MRC) or minimum mean-square error (MMSE) equalizer, simplified PSO optimization is applied. Simulation results show that the proposed PSO algorithm remarkably improves the performance of both, MRC and MMSE detector. Results of proposed MMSE-PSO scheme are better than the MMSE detector and it also outperforms MRC-PSO scheme.