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 a...

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Vydáno v:IEEE transactions on communications Ročník 72; číslo 1; s. 1
Hlavní autoři: Tuan, H. D., Nasir, A. A., Dutkiewicz, E., Poor, H. V., Hanzo, L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antennas
Beamforming
Channel capacity
Computational modeling
Information theory
Linear programming
MIMO communication
Minimax techniques
mixed discrete continuous optimization
Optimization
Optimized production technology
Reconfigurable intelligent surface (RIS )-aided communication
scalable algorithms
Sensors
sum capacity
ISSN:0090-6778, 1558-0857
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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.
AbstractList 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.
Author Tuan, H. D.
Dutkiewicz, E.
Hanzo, L.
Nasir, A. A.
Poor, H. V.
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Snippet Scalable algorithms are conceived for obtaining the sum-rate capacity of the reconfigurable intelligent surface (RIS)-aided multiuser (MU) multiple-input...
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SubjectTerms Algorithms
Antennas
Beamforming
Channel capacity
Computational modeling
Information theory
Linear programming
MIMO communication
Minimax techniques
mixed discrete continuous optimization
Optimization
Optimized production technology
Reconfigurable intelligent surface (RIS )-aided communication
scalable algorithms
Sensors
sum capacity
Title RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
URI https://ieeexplore.ieee.org/document/10271379
https://www.proquest.com/docview/2915720888
Volume 72
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