RIS-aided multiple-input multiple-output broadcast channel capacity
RIS-aided multiple-input multiple-output broadcast channel capacity
Scalable algorithms are conceived for obtaining the sum-rate capacity of the reconfigurable intelligent surface (RIS)-aided multiuser (MU) multiple-input multiple-output (MIMO) broadcast channel (BC), where a multi-antenna base station (BS) transmits signals to multi-antenna users with the help of an RIS equipped with a massive number of finite-resolution programmable reflecting elements (PREs). As a byproduct, scalable path-following algorithms emerge for determining the sum-rate capacity of the conventional MIMO BCs, closing a long-standing open problem of information theory. The paper also develops scalable algorithms for maximizing the minimum rate (max-min rate optimization) of the users achieved by the joint design of RIS’s PRE and transmit beamforming for such an RIS-aided BC. The simulations provided confirm the high performance achieved by the algorithms developed, despite their low computational complexity.
Computational modeling, Linear programming, MIMO communication, Minimax techniques, Optimization, Optimized production technology, Reconfigurable intelligent surface (RIS )-aided communication, Sensors, mixed discrete continuous optimization, scalable algorithms, sum capacity
1
Tuan, H.D.
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Nasir, A.A.
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Dutkiewicz, E.
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Poor, H. Vincent
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Hanzo, Lajos
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Tuan, H.D.
5bcfb405-e76a-4cb1-bc66-19eb4b9fe2a5
Nasir, A.A.
d97ca733-e302-4089-83a2-3909ca148380
Dutkiewicz, E.
6f53b251-772f-4474-a9cc-c1f53b1370af
Poor, H. Vincent
2450f17a-1b3d-4eef-ba7e-111f75631764
Hanzo, Lajos
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Tuan, H.D., Nasir, A.A., Dutkiewicz, E., Poor, H. Vincent and Hanzo, Lajos
(2023)
RIS-aided multiple-input multiple-output broadcast channel capacity.
IEEE Transactions on Communications, .
(doi:10.1109/tcomm.2023.3321909).
Abstract
Scalable algorithms are conceived for obtaining the sum-rate capacity of the reconfigurable intelligent surface (RIS)-aided multiuser (MU) multiple-input multiple-output (MIMO) broadcast channel (BC), where a multi-antenna base station (BS) transmits signals to multi-antenna users with the help of an RIS equipped with a massive number of finite-resolution programmable reflecting elements (PREs). As a byproduct, scalable path-following algorithms emerge for determining the sum-rate capacity of the conventional MIMO BCs, closing a long-standing open problem of information theory. The paper also develops scalable algorithms for maximizing the minimum rate (max-min rate optimization) of the users achieved by the joint design of RIS’s PRE and transmit beamforming for such an RIS-aided BC. The simulations provided confirm the high performance achieved by the algorithms developed, despite their low computational complexity.
Text
multiaccess_22_09_23_double_column
- Accepted Manuscript
More information
Accepted/In Press date: 27 September 2023
e-pub ahead of print date: 4 October 2023
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Computational modeling, Linear programming, MIMO communication, Minimax techniques, Optimization, Optimized production technology, Reconfigurable intelligent surface (RIS )-aided communication, Sensors, mixed discrete continuous optimization, scalable algorithms, sum capacity
Identifiers
Local EPrints ID: 482537
URI: http://eprints.soton.ac.uk/id/eprint/482537
ISSN: 0090-6778
PURE UUID: bc2df763-8411-4242-b655-a05d47eb6551
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Date deposited: 10 Oct 2023 16:46
Last modified: 18 Mar 2024 05:14
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Contributors
Author:
H.D. Tuan
Author:
A.A. Nasir
Author:
E. Dutkiewicz
Author:
H. Vincent Poor
Author:
Lajos Hanzo
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