Antenna selection for reconfigurable intelligent surfaces: a transceiver-agnostic passive beamforming configuration
Antenna selection for reconfigurable intelligent surfaces: a transceiver-agnostic passive beamforming configuration
Reconfigurable intelligent surface (RIS) is capable of improving the wireless system performance by steering the reflected signal in the desired direction. One of the major challenges is that both the transceiver and RIS have to be jointly optimized, where the optimization problems have to be reformulated for different system models and scenarios. To circumvent this challenge, new low-complexity antenna selection (AS) algorithms for transceiver-agnostic RIS configuration are proposed. Given a multiple-input multiple-output (MIMO) channel, the proposed RIS-AS opts for accurately aligning the RIS both with the transmit antenna (TA) and receive antenna (RA) for the sake of maximizing the MIMO channel’s overall output power. The proposed RIS-AS only has to configure the RIS alone, i.e. without iterations with the transceiver optimization. As a result, the proposed RIS-AS has the compelling benefit that they are generically applicable, regardless of the specific transceiver architecture. Our simulation results confirm that the proposed RIS-AS is capable of supporting any MIMO configuration, regardless of their closed/open-loop, single-/full-RF and multiplexing-/diversity-oriented setups.
Array signal processing, MIMO communication, Modulation, Optimization, Radio frequency, Reconfigurable intelligent surface, Symbols, Wireless communication, active beamforming, antenna selection, diversity, full-RF, index modulation, multiplexing, passive beamforming, single-RF, space-time shift keying, spatial modulation
7756-7774
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
An, Jiancheng
38f5bae7-e6d1-4767-8e81-b402ac61943f
Bai, Tong
a758fd48-5fa0-445a-864c-a5c032b5e27c
Sugiura, Shinya
0f1b2d3e-e804-4bc9-8507-1a057c460239
Maunder, Robert G.
76099323-7d58-4732-a98f-22a662ccba6c
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Renzo, Marco Di
851ec05a-0f5d-49b1-aaf6-563604f8b809
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 November 2023
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
An, Jiancheng
38f5bae7-e6d1-4767-8e81-b402ac61943f
Bai, Tong
a758fd48-5fa0-445a-864c-a5c032b5e27c
Sugiura, Shinya
0f1b2d3e-e804-4bc9-8507-1a057c460239
Maunder, Robert G.
76099323-7d58-4732-a98f-22a662ccba6c
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Renzo, Marco Di
851ec05a-0f5d-49b1-aaf6-563604f8b809
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xu, Chao, An, Jiancheng, Bai, Tong, Sugiura, Shinya, Maunder, Robert G., Yang, Lie-Liang, Renzo, Marco Di and Hanzo, Lajos
(2023)
Antenna selection for reconfigurable intelligent surfaces: a transceiver-agnostic passive beamforming configuration.
IEEE Transactions on Wireless Communications, 22 (11), .
(doi:10.1109/TWC.2023.3255406).
Abstract
Reconfigurable intelligent surface (RIS) is capable of improving the wireless system performance by steering the reflected signal in the desired direction. One of the major challenges is that both the transceiver and RIS have to be jointly optimized, where the optimization problems have to be reformulated for different system models and scenarios. To circumvent this challenge, new low-complexity antenna selection (AS) algorithms for transceiver-agnostic RIS configuration are proposed. Given a multiple-input multiple-output (MIMO) channel, the proposed RIS-AS opts for accurately aligning the RIS both with the transmit antenna (TA) and receive antenna (RA) for the sake of maximizing the MIMO channel’s overall output power. The proposed RIS-AS only has to configure the RIS alone, i.e. without iterations with the transceiver optimization. As a result, the proposed RIS-AS has the compelling benefit that they are generically applicable, regardless of the specific transceiver architecture. Our simulation results confirm that the proposed RIS-AS is capable of supporting any MIMO configuration, regardless of their closed/open-loop, single-/full-RF and multiplexing-/diversity-oriented setups.
Text
RIS_Ricean_AS_Accept_two_col_v2
- Accepted Manuscript
More information
Accepted/In Press date: 8 March 2023
e-pub ahead of print date: 16 March 2023
Published date: 1 November 2023
Additional Information:
Funding Information:
The work of Tong Bai was supported in part by NSFC China under Project 62101015. The work of Shinya Sugiura was supported in part by the National Institute of Information and Communications Technology (NICT), Japan. The work of Marco Di Renzo was supported in part by the European Commission through the H2020 ARIADNE Project under Agreement 871464 and through the H2020 RISE-6G Project under Agreement 101017011. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council under Project EP/W016605/1 and Project EP/X01228X/1 and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028.
Publisher Copyright:
© 2002-2012 IEEE.
Keywords:
Array signal processing, MIMO communication, Modulation, Optimization, Radio frequency, Reconfigurable intelligent surface, Symbols, Wireless communication, active beamforming, antenna selection, diversity, full-RF, index modulation, multiplexing, passive beamforming, single-RF, space-time shift keying, spatial modulation
Identifiers
Local EPrints ID: 476383
URI: http://eprints.soton.ac.uk/id/eprint/476383
ISSN: 1536-1276
PURE UUID: 47ffebee-e088-495a-95da-4e3e8ada7944
Catalogue record
Date deposited: 19 Apr 2023 16:47
Last modified: 18 Mar 2024 03:17
Export record
Altmetrics
Contributors
Author:
Chao Xu
Author:
Jiancheng An
Author:
Tong Bai
Author:
Shinya Sugiura
Author:
Robert G. Maunder
Author:
Lie-Liang Yang
Author:
Marco Di Renzo
Author:
Lajos Hanzo
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics