Bi-Objective Optimization of Information Rate and Harvested Power in RIS-Aided SWIPT Systems

The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink multiuser wireless network with simultaneous wireless information and power transfer (SWIPT) is addressed. The beamforming v...

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Published inIEEE wireless communications letters Vol. 11; no. 10; pp. 2195 - 2199
Main Authors Mohamed, Abdelhamed, Zappone, A., Di Renzo, Marco
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE comsoc
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Online AccessGet full text
ISSN2162-2337
2162-2345
DOI10.1109/LWC.2022.3196906

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Abstract The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink multiuser wireless network with simultaneous wireless information and power transfer (SWIPT) is addressed. The beamforming vectors, RIS reflection coefficients, and power split ratios are jointly optimized subject to maximum power constraints, minimum harvested power constraints, and realistic constraints on the RIS reflection coefficients. A practical algorithm is developed through an interplay of alternating optimization, sequential optimization, and pricing-based methods. Numerical results show that the deployment of RISs jointly improves the information rate and the amount of harvested power.
AbstractList The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink multiuser wireless network with simultaneous wireless information and power transfer (SWIPT) is addressed. The beamforming vectors, RIS reflection coefficients, and power split ratios are jointly optimized subject to maximum power constraints, minimum harvested power constraints, and realistic constraints on the RIS reflection coefficients. A practical algorithm is developed through an interplay of alternating optimization, sequential optimization, and pricing-based methods. Numerical results show that the deployment of RISs jointly improves the information rate and the amount of harvested power.
The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink wireless network with simultaneous wireless information and power transfer (SWIPT) is addressed. The beamforming vectors, RIS reflection coefficients, and power split ratios are jointly optimized subject to maximum power constraints, minimum harvested power constraints, and realistic constraints on the RIS reflection coefficients. A practical algorithm is developed through an interplay of alternating optimization, sequential optimization, and pricing-based methods. Numerical results show that the deployment of RISs can significantly improve the information rate and the amount of harvested power.
Author Mohamed, Abdelhamed
Di Renzo, Marco
Zappone, A.
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Snippet The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input...
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SubjectTerms Algorithms
Beamforming
Downlink
Energy harvesting
Engineering Sciences
Information rates
Maximum power
multi-objective optimization
Numerical methods
Optimization
Power transfer
Receivers
Reflection coefficient
RIS
Signal and Image processing
Simultaneous wireless information and power transfer
SWIPT
Wireless networks
Title Bi-Objective Optimization of Information Rate and Harvested Power in RIS-Aided SWIPT Systems
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