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 in | IEEE wireless communications letters Vol. 11; no. 10; pp. 2195 - 2199 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) IEEE comsoc |
Subjects | |
Online Access | Get full text |
ISSN | 2162-2337 2162-2345 |
DOI | 10.1109/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. |
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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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Cites_doi | 10.1109/TWC.2018.2882442 10.1137/1.9780898718829 10.1109/TWC.2019.2942303 10.1109/TSP.2018.2812748 10.1109/JSAC.2020.3000807 10.1109/JSAC.2020.3000802 10.1017/CBO9780511804441 10.1109/TWC.2021.3108901 10.1109/MWC.001.1900534 10.1109/MCOM.001.1900107 10.1109/JSAC.2020.3007211 10.1109/LWC.2021.3065844 10.1109/TCOMM.2022.3140467 10.1109/TCOMM.2020.3001125 |
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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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