Matrix Normalization Based ZF Hybrid Precoded Multi-User MIMO mmWave Systems with Massive Array

Li, H; Wang, TQ; Huang, X; Guo, YJ

Matrix Normalization Based ZF Hybrid Precoded Multi-User MIMO mmWave Systems with Massive Array

Li, H

Wang, TQ

Huang, X

Guo, YJ

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2018, 2018-August
Issue Date:: 2018-07-02

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Field	Value	Language
dc.contributor.author	Li, H https://orcid.org/0000-0001-9996-9695	en_US
dc.contributor.author	Wang, TQ https://orcid.org/0000-0002-2326-4549	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.available	2020-09-01T19:11:35Z
dc.date.issued	2018-07-02	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2018, 2018-August	en_US
dc.identifier.isbn	9781538663585	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129716
dc.description.abstract	© 2018 IEEE. The superiority of exploring millimeter wave (mmWave) frequencies for future wireless communication systems has pushed forward the development of large-scale antenna arrays for achieving sufficient array gain and high spectral efficiency. In this paper, we study the matrix normalization (MN) based zero-forcing (ZF) hybrid precoding in multi-user multi-input-multi-output (MU-MIMO) mmWave systems. We derive the upper bounds of the achievable rate for two representative hybrid array structures, i.e., fully-connected structure and partially-connected structure. Analytical and simulation results validate the tightness of the proposed performance upper bounds for both hybrid structures using massive array, and provide a comparison of the achievable rate using MN and vector normalization (VN).	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCFall.2018.8690745	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Matrix Normalization Based ZF Hybrid Precoded Multi-User MIMO mmWave Systems with Massive Array	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-August	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-August	en_US

Abstract:

© 2018 IEEE. The superiority of exploring millimeter wave (mmWave) frequencies for future wireless communication systems has pushed forward the development of large-scale antenna arrays for achieving sufficient array gain and high spectral efficiency. In this paper, we study the matrix normalization (MN) based zero-forcing (ZF) hybrid precoding in multi-user multi-input-multi-output (MU-MIMO) mmWave systems. We derive the upper bounds of the achievable rate for two representative hybrid array structures, i.e., fully-connected structure and partially-connected structure. Analytical and simulation results validate the tightness of the proposed performance upper bounds for both hybrid structures using massive array, and provide a comparison of the achievable rate using MN and vector normalization (VN).

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http://hdl.handle.net/10453/129716