Effective user selection algorithm for quantized precoding in massive MIMO

Abstract

The downlink of a multi-user massive MIMO wireless system is considered, where the base station equipped with a large number of antennas simultaneously servesmultiple users. In this paper, an effective user selection algorithm is proposed for quantized precoding in massive MIMO systems. The algorithm aims at minimizing the correlation of precoders among users by relaxing the optimal problem to be convex and solving it using the Primal Newton’s Barrier Method. The complexity of the proposed algorithm is relatively low and the performance shown by the numerical results is close to the exhaustive search method. The advantage of the proposed algorithm increasingly shows up as the transmit antennas increase significantly.