Multi-timescale interference mitigation for massive MIMO cellular networks

We propose a multi-timescale interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell interference and is adaptive to local channel state information (CSI) at each BS (CSIT). The outer precoder controls the inter-cell interference and is adaptive to channel statistics. Such hierarchical precoding structure reduces the number of pilot symbols required for CSI estimation in massive MIMO downlink and is robust to the backhaul latency. We study non-convex joint optimization of the outer precoders, the user selection, and the power allocation to maximize a general concave utility. Using the hidden convexity of the non-convex problem, we propose an iterative algorithm to find the optimal solution. We also obtain a low complexity algorithm with provable convergence. Simulations show that the proposed design has significant gain over various state-of-the-art baselines.