Energy Efficiency Optimization of Reconfigurable Intelligent Surfaces With Electromagnetic Field Exposure Constraints

This work considers the problem of energy efficiency (EE) maximization in a reconfigurable intelligent surface (RIS)-aided multiple input multiple output (MIMO) communication link, subject to maximum power constraints and to additional constraints on the maximum exposure of the end-users to electrom...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 29; pp. 1447 - 1451
Main Authors Zappone, Alessio, Renzo, Marco Di
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2022
Institute of Electrical and Electronics Engineers
Subjects
Algorithms
Beamforming
Electromagnetic fields
Engineering Sciences
Exposure
Maximum power
Optimization
Reconfigurable intelligent surfaces
Signal and Image processing
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Summary:This work considers the problem of energy efficiency (EE) maximization in a reconfigurable intelligent surface (RIS)-aided multiple input multiple output (MIMO) communication link, subject to maximum power constraints and to additional constraints on the maximum exposure of the end-users to electromagnetic radiations. The RIS phase shifts, the transmit beamforming, the linear receive filter, and the transmit power are jointly optimized, and two provably convergent and low-complexity algorithms are developed. One algorithm applies to the general system setup, but does not guarantee global optimality. The other is provably optimal in the notable special case of isotropic electromagnetic field (EMF) exposure constraints. The numerical results show that an RIS ensures an EE of the same order of magnitude as when no EMF constraints are enforced.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2022.3181532