JOURNAL ARTICLE

Capacity-Aware Hybrid beamforming for Multi-User Massive MIMO

Abstract

We propose a capacity-aware hybrid beamforming (CA HBF) to enhance the uplink channel capacity of multi-user massive MIMO (MU-MIMO) system. We assume that the base station (BS) and the mobile users are equipped with hybrid beamforming massive arrays. The analog beamformers of the BS and the mobile users are based on multi-beam selection. Each user perform capacity-aware digital beamforming and the BS performs digital MRC. The capacity-aware scheme is implemented using the free-derivative population-based particle swarm optimization (PSO) algorithms that is well known by its simple/fast hardware implementation. The performance evaluation in term of the ergodic system capacity shows that the proposed CA HBF achieves the same performance as the fully-digital capacity-aware beamforming scheme.

Keywords:
Beamforming MIMO Base station Telecommunications link Computer science Precoding Electronic engineering Channel capacity Capacity optimization Computer network Multi-user Channel (broadcasting) Computer engineering Telecommunications Engineering

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Cited By
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FWCI (Field Weighted Citation Impact)
14
Refs
0.11
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Millimeter-Wave Propagation and Modeling
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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