Gautam, PR and Zhang, L (2020) Hybrid SLNR Precoding for Multi-user Millimeter Wave MIMO Systems. In: Proceedings of the 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC). 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC), 24-27 Nov 2019, Lisbon, Portugal. IEEE ISBN 978-1-7281-5419-0
Abstract
It is difficult to implement a fully digital precoding in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, owing to the huge cost and power consumption of radio frequency (RF) chains. Hybrid precoding that uses the combination of analog beamforming, together with digital precoding, offers a feasible solution to this problem where far lesser number of RF chains are employed compared to the number of antennas. We consider a downlink multi-user massive MIMO scenario and propose a hybrid precoding scheme that maximizes signal-to-leakage-and-noise ratio (SLNR). Each mobile station (MS) determines its analog combiner first and then the base station (BS) constructs the analog beamformer and the digital precoder of the hybrid precoder in two separate stages to maximize the SLNR for each user. We show, through simulations, that the proposed hybrid SLNR-based precoder exhibits a performance close to the fully digital SLNR-based precoder despite using only a few number of RF chains.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 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. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Nov 2019 12:01 |
Last Modified: | 17 Jun 2020 15:00 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/WPMC48795.2019.9096182 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153731 |