Pilot Contamination Precoding Assisted Sum Rate Maximization for Multi-cell Massive MIMO Systems

This paper focuses on the pilot contamination precoding (PCP) assisted sum rate maximization for multicell massive MIMO system with finite number of antennas at base station (BS). Considering the case where BSs with finite number of antennas, the impact of the noise, the channel estimation error, channel uncertainty caused by usage of statistical channel state information (CSI) and channel non-orthogonality on the system performance can not be neglected any more compared with the pilot contamination, we in this work jointly consider all these factors and formulate an optimization problem to maximize the sum rate of all users. We derive the expression of the PCP matrix maximizing sum rate (MSR) of all users. Based on the obtained expression, an iterative algorithm is proposed to get a suboptimal solution to maximize the sum rate of all users. Simulations have been done to verify its superiority and results show that the proposed MSR-PCP outperforms the existing zero forcing PCP (ZF-PCP) and max-min PCP with acceptable computational complexity, especially for the case where users are located at cell edges and suffer from strong interference.