Hierarchical Interference Mitigation for Massive MIMO Cellular Networks
An Liu, Vincent Lau

TL;DR
This paper introduces a hierarchical precoding scheme for massive MIMO networks that reduces pilot overhead, enhances robustness, and optimizes interference mitigation through joint precoder, user, and power control.
Contribution
It proposes a novel hierarchical precoding structure with joint optimization methods, including an asymptotic analysis and efficient algorithms, for interference mitigation in massive MIMO systems.
Findings
Significant performance gains over existing methods.
Asymptotic optimality as antenna number increases.
Effective reduction in pilot symbol requirements.
Abstract
We propose a hierarchical 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 joint optimization of the outer precoders, the user selection, and the power allocation to maximize a general concave utility which has no closed-form expression. We first apply random matrix theory to obtain an approximated problem with closed-form objective. We show that the solution of the…
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