Relay Hybrid Precoding in UAV-Assisted Wideband Millimeter-Wave Massive MIMO System

Mir, T; Waqas, M; Tu, S; Fang, C; Ni, W; MacKenzie, R; Xue, X; Han, Z

Relay Hybrid Precoding in UAV-Assisted Wideband Millimeter-Wave Massive MIMO System

Mir, T Waqas, M Tu, S Fang, C Ni, W

MacKenzie, R Xue, X Han, Z

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Wireless Communications, 2022, 21, (9), pp. 7040-7054
Issue Date:: 2022-09-01

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Field	Value	Language
dc.contributor.author	Mir, T
dc.contributor.author	Waqas, M
dc.contributor.author	Tu, S
dc.contributor.author	Fang, C
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	MacKenzie, R
dc.contributor.author	Xue, X
dc.contributor.author	Han, Z
dc.date.accessioned	2023-04-17T03:00:04Z
dc.date.available	2023-04-17T03:00:04Z
dc.date.issued	2022-09-01
dc.identifier.citation	IEEE Transactions on Wireless Communications, 2022, 21, (9), pp. 7040-7054
dc.identifier.issn	1536-1276
dc.identifier.issn	1558-2248
dc.identifier.uri	http://hdl.handle.net/10453/169847
dc.description.abstract	Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) offers a promising technique to fulfil the high data demand and connectivity of the Internet-of-Things (IoT) and 5G communications because it owns valuable and unknown spectrum resources. Using massive antennas with recently introduced drone-enabled aerial computing platforms, named unmanned aerial vehicles (UAVs), can cast high energy consumption if fully-digital precoding is employed at the UAVs. Using hybrid precoding at a UAV can reduce hardware complexity and energy consumption but is challenging with a need for joint optimization of three precoding matrices at the UAV (sixth-order polynomial objective function). In this paper, we propose to decompose the original UAV hybrid precoding challenge into three subproblems and develop a coordinated descent optimization (CDO) algorithm to solve the three problems recursively. In addition, the convergence and complexity of this new technique are analyzed. Numerical studies indicate the improved effectiveness of the proposed solution over existing solutions.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Wireless Communications
dc.relation.isbasedon	10.1109/TWC.2022.3154290
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Relay Hybrid Precoding in UAV-Assisted Wideband Millimeter-Wave Massive MIMO System
dc.type	Journal Article
utslib.citation.volume	21
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
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
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-17T03:00:03Z
pubs.issue	9
pubs.publication-status	Published
pubs.volume	21
utslib.citation.issue	9

Abstract:

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) offers a promising technique to fulfil the high data demand and connectivity of the Internet-of-Things (IoT) and 5G communications because it owns valuable and unknown spectrum resources. Using massive antennas with recently introduced drone-enabled aerial computing platforms, named unmanned aerial vehicles (UAVs), can cast high energy consumption if fully-digital precoding is employed at the UAVs. Using hybrid precoding at a UAV can reduce hardware complexity and energy consumption but is challenging with a need for joint optimization of three precoding matrices at the UAV (sixth-order polynomial objective function). In this paper, we propose to decompose the original UAV hybrid precoding challenge into three subproblems and develop a coordinated descent optimization (CDO) algorithm to solve the three problems recursively. In addition, the convergence and complexity of this new technique are analyzed. Numerical studies indicate the improved effectiveness of the proposed solution over existing solutions.

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http://hdl.handle.net/10453/169847