Effective user selection algorithm for quantized precoding in massive MIMO

We consider the downlink of a multi-user massive MIMO wireless system, where the base station equipped with a large number of antennas simultaneously serves multiple users. In this paper, we propose an effective user selection algorithm 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 our 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.