Low-resolution RIS-aided multi-user MIMO signaling
Low-resolution RIS-aided multi-user MIMO signaling
A multi-antenna aided base station (BS) supporting several multi-antenna downlink users with the aid of a reconfigurable intelligent surface (RIS) of programmable reflecting elements (PREs) is considered. Low-resolution PREs constrained by a set of sparse discrete values are used for reasons of cost efficiency. Our challenging objective is to jointly design the beamformers at the BS and the RIS’s PREs for improving the throughput of all users by maximizing their geometric-mean, under a variety of different access schemes. This constitutes a computationally challenging problem of mixed continuous discrete optimization, because each user’s throughput is a complicated function of both the continuous-valued beamformer weights and of the discrete-valued PREs. We develop low-complexity algorithms, which iterate by directly evaluating low-complexity closed-form expressions. Our simulation results show the advantages of non-orthogonal multiple access-aided signaling, which allows the users to decode a part of the multi-user interference for enhancing their throughput.
6517 - 6531
Nasir, A.A.
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Tuan, H.D.
5bcfb405-e76a-4cb1-bc66-19eb4b9fe2a5
Dutkiewicz, E.
6f53b251-772f-4474-a9cc-c1f53b1370af
Poor, H.V.
dc211467-586c-444e-849d-b8f73c6b632d
Hanzo, Lajos
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1 October 2022
Nasir, A.A.
d97ca733-e302-4089-83a2-3909ca148380
Tuan, H.D.
5bcfb405-e76a-4cb1-bc66-19eb4b9fe2a5
Dutkiewicz, E.
6f53b251-772f-4474-a9cc-c1f53b1370af
Poor, H.V.
dc211467-586c-444e-849d-b8f73c6b632d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Nasir, A.A., Tuan, H.D., Dutkiewicz, E., Poor, H.V. and Hanzo, Lajos
(2022)
Low-resolution RIS-aided multi-user MIMO signaling.
IEEE Transactions on Communications, 70 (10), .
(doi:10.1109/TCOMM.2022.3196061).
Abstract
A multi-antenna aided base station (BS) supporting several multi-antenna downlink users with the aid of a reconfigurable intelligent surface (RIS) of programmable reflecting elements (PREs) is considered. Low-resolution PREs constrained by a set of sparse discrete values are used for reasons of cost efficiency. Our challenging objective is to jointly design the beamformers at the BS and the RIS’s PREs for improving the throughput of all users by maximizing their geometric-mean, under a variety of different access schemes. This constitutes a computationally challenging problem of mixed continuous discrete optimization, because each user’s throughput is a complicated function of both the continuous-valued beamformer weights and of the discrete-valued PREs. We develop low-complexity algorithms, which iterate by directly evaluating low-complexity closed-form expressions. Our simulation results show the advantages of non-orthogonal multiple access-aided signaling, which allows the users to decode a part of the multi-user interference for enhancing their throughput.
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Low-Resolution RIS-Aided Multi-User MIMO Signaling
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Low-Resolution_RIS-Aided_Multiuser_MIMO_Signaling
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Accepted/In Press date: 16 July 2022
Published date: 1 October 2022
Identifiers
Local EPrints ID: 470682
URI: http://eprints.soton.ac.uk/id/eprint/470682
ISSN: 0090-6778
PURE UUID: 593f1844-bea0-473a-b758-32c10545d5d9
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Date deposited: 18 Oct 2022 16:31
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
A.A. Nasir
Author:
H.D. Tuan
Author:
E. Dutkiewicz
Author:
H.V. Poor
Author:
Lajos Hanzo
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