Low-Complexity Subarray-Based RF Precoding for Wideband Multiuser Millimeter Wave Systems

Ni, Z; Zhang, JA; Yang, K; Gao, F; An, J

Low-Complexity Subarray-Based RF Precoding for Wideband Multiuser Millimeter Wave Systems

Ni, Z Zhang, JA Yang, K Gao, F An, J

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2020, 69, (7), pp. 8028-8033
Issue Date:: 2020-07-01

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Field	Value	Language
dc.contributor.author	Ni, Z
dc.contributor.author	Zhang, JA
dc.contributor.author	Yang, K
dc.contributor.author	Gao, F
dc.contributor.author	An, J
dc.date.accessioned	2021-02-21T09:59:41Z
dc.date.available	2021-02-21T09:59:41Z
dc.date.issued	2020-07-01
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2020, 69, (7), pp. 8028-8033
dc.identifier.issn	0018-9545
dc.identifier.issn	1939-9359
dc.identifier.uri	http://hdl.handle.net/10453/146250
dc.description.abstract	© 1967-2012 IEEE. This correspondence paper proposes a novel low-complexity radio-frequency (RF) precoding and combining scheme for wideband multiuser millimeter wave hybrid-array systems, targeting at maximizing the system energy efficiency. We first derive a nearly-optimal fully-connected RF precoder, via minimizing the correlation across different users and subcarriers. We then extend the optimization solution to subarray-based architectures by exploiting the unitary matrix feature of subarrays. With the obtained phase values of the precoder, we optimize the power allocation on each subcarrier of the baseband precoder. Simulation results are provided and validate the effectiveness of our proposed hybrid precoding scheme.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Vehicular Technology
dc.relation.isbasedon	10.1109/TVT.2020.2994965
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	© 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.	en_US
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Automobile Design & Engineering
dc.title	Low-Complexity Subarray-Based RF Precoding for Wideband Multiuser Millimeter Wave Systems
dc.type	Journal Article
utslib.citation.volume	69
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-07-01T00:00:00+1000Z
dc.date.updated	2021-02-21T09:59:32Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	69
utslib.citation.issue	7

Abstract:

© 1967-2012 IEEE. This correspondence paper proposes a novel low-complexity radio-frequency (RF) precoding and combining scheme for wideband multiuser millimeter wave hybrid-array systems, targeting at maximizing the system energy efficiency. We first derive a nearly-optimal fully-connected RF precoder, via minimizing the correlation across different users and subcarriers. We then extend the optimization solution to subarray-based architectures by exploiting the unitary matrix feature of subarrays. With the obtained phase values of the precoder, we optimize the power allocation on each subcarrier of the baseband precoder. Simulation results are provided and validate the effectiveness of our proposed hybrid precoding scheme.

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http://hdl.handle.net/10453/146250