Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming

Yu, H; Tuan, HD; Nasir, AA; Dutkiewicz, E; Hanzo, L

Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming

Yu, H Tuan, HD Nasir, AA Dutkiewicz, E

Hanzo, L

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2024, 73, (2), pp. 2401-2415
Issue Date:: 2024-02-01

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Field	Value	Language
dc.contributor.author	Yu, H
dc.contributor.author	Tuan, HD
dc.contributor.author	Nasir, AA
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286
dc.contributor.author	Hanzo, L
dc.date.accessioned	2024-04-16T05:26:48Z
dc.date.available	2024-04-16T05:26:48Z
dc.date.issued	2024-02-01
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2024, 73, (2), pp. 2401-2415
dc.identifier.issn	0018-9545
dc.identifier.issn	1939-9359
dc.identifier.uri	http://hdl.handle.net/10453/177974
dc.description.abstract	This article investigates reconfigurable intelligent surface (RIS)-aided OFDM network, where a multiple-antenna aided base station (BS) transmits its downlink (DL) signals to multiple single-antenna users via an RIS, which consists of a considerable amount of low-resolution programmable reflecting elements (PREs). Explicitly, we propose the joint design of the multi-user (MU) beamformers and the RIS's PREs for quality-of-service target in terms of the individual users' rates. In the face of dispersive channels, we demonstrate that this poses a large-scale mixed discrete continuous optimization problem of intractable nature. We then tackle this challenge by developing low-complexity iterative procedures, which invoke light-weight closed-form expressions at each iteration, are developed for its computational solution. The simulations demonstrate their computational efficiency and additionally, reveal the deficiencies of the conventional MU OFDM beamforming design based on sum-rate maximization.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://purl.org/au-research/grants/arc/DP190102501
dc.relation.ispartof	IEEE Transactions on Vehicular Technology
dc.relation.isbasedon	10.1109/TVT.2023.3321657
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Automobile Design & Engineering
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Rate-Fairness-Aware Low Resolution RIS-Aided Multi-User OFDM Beamforming
dc.type	Journal Article
utslib.citation.volume	73
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
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/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
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-16T05:26:47Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	73
utslib.citation.issue	2

Abstract:

This article investigates reconfigurable intelligent surface (RIS)-aided OFDM network, where a multiple-antenna aided base station (BS) transmits its downlink (DL) signals to multiple single-antenna users via an RIS, which consists of a considerable amount of low-resolution programmable reflecting elements (PREs). Explicitly, we propose the joint design of the multi-user (MU) beamformers and the RIS's PREs for quality-of-service target in terms of the individual users' rates. In the face of dispersive channels, we demonstrate that this poses a large-scale mixed discrete continuous optimization problem of intractable nature. We then tackle this challenge by developing low-complexity iterative procedures, which invoke light-weight closed-form expressions at each iteration, are developed for its computational solution. The simulations demonstrate their computational efficiency and additionally, reveal the deficiencies of the conventional MU OFDM beamforming design based on sum-rate maximization.

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http://hdl.handle.net/10453/177974