Effects of realistic reradiation models in digital reconfigurable intelligent surfaces

Reconfigurable intelligent surfaces (RISs) are a promising technology for wireless communication applications, but their performance is often optimized using simplified electromagnetic reradiation models. In this study, we explore the impact on the RIS performance of more realistic assumptions, incl...

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Main Authors: Marco Di Renzo, Abdelhamed Mohamed, Alessio Zappone, Gabriele Gradoni, Marco Rossi, Massimo Moccia, Giuseppe Castaldi, Vincenzo Galdi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-09-01
Series:Journal of Information and Intelligence
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Online Access:http://www.sciencedirect.com/science/article/pii/S2949715923000343
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author Marco Di Renzo
Abdelhamed Mohamed
Alessio Zappone
Gabriele Gradoni
Marco Rossi
Massimo Moccia
Giuseppe Castaldi
Vincenzo Galdi
author_facet Marco Di Renzo
Abdelhamed Mohamed
Alessio Zappone
Gabriele Gradoni
Marco Rossi
Massimo Moccia
Giuseppe Castaldi
Vincenzo Galdi
author_sort Marco Di Renzo
collection DOAJ
description Reconfigurable intelligent surfaces (RISs) are a promising technology for wireless communication applications, but their performance is often optimized using simplified electromagnetic reradiation models. In this study, we explore the impact on the RIS performance of more realistic assumptions, including the (possibly imperfect) quantization of the reflection coefficients, sub-wavelength inter-element spacing, near-field location, and presence of electromagnetic interference. We find that design constraints can cause an RIS to reradiate power in unwanted directions. Therefore, it is important to optimize an RIS by considering the entire reradiation pattern. Overall, our study indicates that a 2-bit digitally controllable RIS with a nearly constant reflection amplitude and RIS elements with a size and inter-element spacing between (1/8)th and (1/4)th of the signal wavelength may offer a reasonable tradeoff between performance, complexity, and cost.
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institution Matheson Library
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publisher KeAi Communications Co., Ltd.
record_format Article
series Journal of Information and Intelligence
spelling doaj-art-681e50f4096c49c898d733d7fc69cbbc2025-08-02T09:59:56ZengKeAi Communications Co., Ltd.Journal of Information and Intelligence2949-71592023-09-0113238252Effects of realistic reradiation models in digital reconfigurable intelligent surfacesMarco Di Renzo0Abdelhamed Mohamed1Alessio Zappone2Gabriele Gradoni3Marco Rossi4Massimo Moccia5Giuseppe Castaldi6Vincenzo Galdi7Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 3 Rue Joliot-Curie, Gif-sur-Yvette 91192, France; Corresponding authors.Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 3 Rue Joliot-Curie, Gif-sur-Yvette 91192, FranceUniversity of Cassino and Lazio Meridionale, Department of Electrical and Information Engineering, Via Gaetano Di Biasio 43, Cassino (FR) 03043, ItalyUniversity of Nottingham, School of Mathematical Sciences and Department of Electrical and Electronics Engineering, University Park, Nottingham NG7 2RD, UK; University of Cambridge, Department of Computer Science and Technology, 15 J.J. Thomson Avenue, Cambridge CB3 0FD, UKUniversity of Sannio, Department of Engineering, Corso Garibaldi 107, Benevento 82100, ItalyUniversity of Sannio, Department of Engineering, Corso Garibaldi 107, Benevento 82100, ItalyUniversity of Sannio, Department of Engineering, Corso Garibaldi 107, Benevento 82100, ItalyUniversity of Sannio, Department of Engineering, Corso Garibaldi 107, Benevento 82100, Italy; Corresponding authors.Reconfigurable intelligent surfaces (RISs) are a promising technology for wireless communication applications, but their performance is often optimized using simplified electromagnetic reradiation models. In this study, we explore the impact on the RIS performance of more realistic assumptions, including the (possibly imperfect) quantization of the reflection coefficients, sub-wavelength inter-element spacing, near-field location, and presence of electromagnetic interference. We find that design constraints can cause an RIS to reradiate power in unwanted directions. Therefore, it is important to optimize an RIS by considering the entire reradiation pattern. Overall, our study indicates that a 2-bit digitally controllable RIS with a nearly constant reflection amplitude and RIS elements with a size and inter-element spacing between (1/8)th and (1/4)th of the signal wavelength may offer a reasonable tradeoff between performance, complexity, and cost.http://www.sciencedirect.com/science/article/pii/S2949715923000343Wireless communicationsReconfigurable intelligent surfacesDynamic metasurfacesModelingPerformance evaluationOptimization
spellingShingle Marco Di Renzo
Abdelhamed Mohamed
Alessio Zappone
Gabriele Gradoni
Marco Rossi
Massimo Moccia
Giuseppe Castaldi
Vincenzo Galdi
Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
Journal of Information and Intelligence
Wireless communications
Reconfigurable intelligent surfaces
Dynamic metasurfaces
Modeling
Performance evaluation
Optimization
title Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
title_full Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
title_fullStr Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
title_full_unstemmed Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
title_short Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
title_sort effects of realistic reradiation models in digital reconfigurable intelligent surfaces
topic Wireless communications
Reconfigurable intelligent surfaces
Dynamic metasurfaces
Modeling
Performance evaluation
Optimization
url http://www.sciencedirect.com/science/article/pii/S2949715923000343
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