A successive iterative optimization precoding method for downlink multi-user MIMO system

Spatial multiplexing in the multi-user MIMO (MU-MIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources. In this paper, we have proposed a successive iterative optimization method based on signal-to-leakage-and-noise-ratio (SLNR) maximization algorithm proposed recently, which has no strict constraint on transmit and receive antennas numbers. According to the simulation results, the proposed method outperforms the original SLNR algorithm and have a considerable improvement in BER performance and system capacity.