Hybrid Processing Design for Multipair Massive MIMO Relaying with Channel Spatial Correlation
Milad Fozooni, Hien Quoc Ngo, Michail Matthaiou, Shi Jin, and George, C. Alexandropoulos

TL;DR
This paper proposes a hybrid analog/digital beamforming design for massive MIMO relay systems that reduces RF chain costs while maintaining high spectral efficiency, leveraging channel properties and robust digital processing.
Contribution
It introduces a hybrid A/D transceiver structure that exploits channel long-term properties and spatial correlation, achieving near fully digital spectral efficiency with fewer RF chains.
Findings
Hybrid A/D beamforming captures 95% of fully digital spectral efficiency.
System remains robust with 2-bit quantization, achieving over 93% efficiency.
ZF digital processing outperforms MRC/MRT in correlated channels.
Abstract
Massive multiple-input multiple-output (MIMO) avails of simple transceiver design which can tackle many drawbacks of relay systems in terms of complicated signal processing, latency, and noise amplification. However, the cost and circuit complexity of having one radio frequency (RF) chain dedicated to each antenna element are prohibitive in practice. In this paper, we address this critical issue in amplify-and-forward (AF) relay systems using a hybrid analog and digital (A/D) transceiver structure. More specifically, leveraging the channel long-term properties, we design the analog beamformer which aims to minimize the channel estimation error and remain invariant over a long timescale. Then, the beamforming is completed by simple digital signal processing, i.e., maximum ratio combining/maximum ratio transmission (MRC/MRT) or zero-forcing (ZF) in the baseband domain. We present…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Full-Duplex Wireless Communications
