Rate-fairness-aware low resolution RIS-aided multi-User OFDM beamforming
Rate-fairness-aware low resolution RIS-aided multi-User OFDM beamforming
This paper 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.
Array signal processing, Base stations, MISO communication, OFDM, Optimization, Quality of service, Reconfigurable intelligent surface, Symmetric matrices, low bit-quantization, mixed discrete continuous optimization, multi-objective beamforming, multi-user OFDM, quality-of-service
1-15
Yu, H.
e9746241-66a1-4dfb-ad49-c364c8f69321
Tuan, H.D.
47dc4b79-2c0f-43bd-8952-d8f4a6a04711
Nasir, A.A.
d97ca733-e302-4089-83a2-3909ca148380
Dutkiewicz, E.
758c11d4-76a2-4df8-8ec9-451a8ff91aab
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Yu, H.
e9746241-66a1-4dfb-ad49-c364c8f69321
Tuan, H.D.
47dc4b79-2c0f-43bd-8952-d8f4a6a04711
Nasir, A.A.
d97ca733-e302-4089-83a2-3909ca148380
Dutkiewicz, E.
758c11d4-76a2-4df8-8ec9-451a8ff91aab
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Yu, H., Tuan, H.D., Nasir, A.A., Dutkiewicz, E. and Hanzo, L.
(2023)
Rate-fairness-aware low resolution RIS-aided multi-User OFDM beamforming.
IEEE Transactions on Vehicular Technology, .
(doi:10.1109/TVT.2023.3321657).
Abstract
This paper 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.
Text
RIS_OFDM_double_column_R3
- Accepted Manuscript
More information
Accepted/In Press date: 29 September 2023
e-pub ahead of print date: 4 October 2023
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Array signal processing, Base stations, MISO communication, OFDM, Optimization, Quality of service, Reconfigurable intelligent surface, Symmetric matrices, low bit-quantization, mixed discrete continuous optimization, multi-objective beamforming, multi-user OFDM, quality-of-service
Identifiers
Local EPrints ID: 482523
URI: http://eprints.soton.ac.uk/id/eprint/482523
ISSN: 0018-9545
PURE UUID: 14c8d4bf-f30c-4d0a-950b-c7f380369d2b
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Date deposited: 10 Oct 2023 16:44
Last modified: 18 Mar 2024 05:13
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Contributors
Author:
H. Yu
Author:
H.D. Tuan
Author:
A.A. Nasir
Author:
E. Dutkiewicz
Author:
L. Hanzo
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