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Hybrid Precoding for Massive MIMO with Low Rank Channels: A Two-Stage User Scheduling Approach

Almradi, Ahmed, Matthaiou, Michail, Xiao, Pei and Fusco, Vincent F. (2020) Hybrid Precoding for Massive MIMO with Low Rank Channels: A Two-Stage User Scheduling Approach IEEE Transactions on Communications.

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Abstract

To fully reap the benefits of massive multiple-input multiple-output hybrid analog and digital precoding in frequency division duplexing single-cell systems, a two-stage precoder is developed utilizing the signal-to-leakage-plus-noise ratio metric. The main idea of this technique is to jointly design the analog precoder based only on the long-term channel statistics information at the transmitter, i.e., the channel mean and reconstructed reduced rank covariance statistics, while the digital precoder is designed based on the instantaneous channel state information of the reduced dimensionality effective reconstructed channel. Consequently, we can significantly reduce the downlink training and uplink feedback overhead analogously to the rank of the resultant effective channel. The two extremes of full channel state information at the transmitter (CSIT) and statistical CSIT are also investigated. The performance gap between the full and statistical CSIT corroborates the importance of the proposed two-stage CSIT approach. These precoders are then extended to multi-cell systems. It is shown that the digital baseband precoder design problem reduces to the generalized Rayleigh quotient problem, while the analog precoder design problem reduces to the quotient trace problem, also known as the ratio trace problem. These dimensionality reduction problems are solved via the generalized eigenvalue decomposition method. Finally, in the presence of multiuser diversity where only a subset of the users are scheduled, to considerably alleviate the channel estimation and feedback overhead burden, a low-complexity one-stage and two-stage CSIT joint user scheduler and precoder algorithms are developed.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Almradi, Ahmeda.m.almradi@surrey.ac.uk
Matthaiou, Michail
Xiao, PeiP.Xiao@surrey.ac.uk
Fusco, Vincent F.
Date : 6 May 2020
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/TCOMM.2020.2991805
Copyright Disclaimer : © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Hybrid analog and digital precoding; Multiuser MIMO systems; Sum spectral efficiency; Statistical CSIT; Signal-to-leakage-plus-noise ratio (SLNR); Two-stage precoding; Zero-forcing (ZF); Precoding; Massive MIMO; Baseband; Channel estimation; Radio frequency; Covariance matrices; Eigenvalues and eigenfunctions
Depositing User : Clive Harris
Date Deposited : 29 May 2020 15:45
Last Modified : 29 May 2020 15:45
URI: http://epubs.surrey.ac.uk/id/eprint/857013

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