Hybrid precoding for multiuser massive MIMO systems based on MMSE-PSO

Hybrid Precoding has been adopted as a promising technology for 5th generation wireless communication systems. In this paper, we propose a hybrid precoding scheme based on minimum mean square error (MMSE) and particle swarm optimization (PSO) for multiuser massive multiple-input multiple-output systems. The closed-form solutions of baseband precoding and the combiner are solved by convex optimization method. Meanwhile, the MMSE between the transmitted signal and the received signal is considered as an objective function of PSO, and the radio frequency precoding is obtained by updating the global optimal positions of the particles. The simulation results show that the proposed hybrid MMSE-PSO precoding significantly improves achievable rate and the system reliability.