Millimeter-Wave Massive MIMO Systems Relying on Generalized Sub-Array-Connected Hybrid Precoding
Yun Chen, Da Chen, Tao Jiang, Lajos Hanzo

TL;DR
This paper introduces a generalized sub-array-connected hybrid precoding architecture for millimeter-wave massive MIMO systems, optimizing energy efficiency with a novel successive interference cancellation algorithm and a beamsteering codebook.
Contribution
It proposes a flexible GSAC architecture and a hybrid precoding algorithm that maximizes energy efficiency for arbitrary RF chain and antenna configurations.
Findings
Achieves similar rates to optimal unconstrained precoders.
Improves energy efficiency over existing architectures.
Demonstrates effectiveness through simulation results.
Abstract
In this paper, we consider a generalized sub-array-connected (GSAC) architecture for arbitrary radio frequency (RF) chain and antenna configurations, where the number of RF chains connected to a sub-array and the number of antennas in each sub-array can be arbitrary. Our design objective is to improve the energy-efficiency of the hybrid precoder of millimeter-wave massive multiple input multiple output (MIMO) systems. We firstly propose a successive interference cancellation based hybrid precoding algorithm to maximize the achievable rate for any given RF chain and antenna configuration. This algorithm firstly decomposes the total achievable rate optimization problem into multiple sub-rate optimization problems, then it successively maximizes these sub-rates. Since the number of RF chains is limited, we can afford using an exhaustive search scheme to evaluate all configurations and…
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