Show simple item record

dc.contributor.authorRenzo, Marco Di
dc.contributor.authorZappone, Alessio
dc.contributor.authorDebbah, Merouane
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorYuen, Chau
dc.contributor.authorRosny, Julien de
dc.contributor.authorTretyakov, Sergei
dc.date.accessioned2021-03-24T05:59:42Z
dc.date.available2021-03-24T05:59:42Z
dc.date.issued2020
dc.identifier.citationRenzo, M. D., Zappone, A., Debbah, M., Alouini, M.-S., Yuen, C., Rosny, J. D., & Tretyakov, S. (2020). Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead. IEEE Journal on Selected Areas in Communications, 1–1. doi:10.1109/jsac.2020.3007211
dc.identifier.issn1558-0008
dc.identifier.doi10.1109/JSAC.2020.3007211
dc.identifier.urihttp://hdl.handle.net/10754/668211
dc.description.abstractReconfigurable intelligent surfaces (RISs) are an emerging transmission technology for application to wireless communications. RISs can be realized in different ways, which include (i) large arrays of inexpensive antennas that are usually spaced half of the wavelength apart; and (ii) metamaterial-based planar or conformal large surfaces whose scattering elements have sizes and inter-distances much smaller than the wavelength. Compared with other transmission technologies, e.g., phased arrays, multi-antenna transmitters, and relays, RISs require the largest number of scattering elements, but each of them needs to be backed by the fewest and least costly components. Also, no power amplifiers are usually needed. For these reasons, RISs constitute a promising software-defined architecture that can be realized at reduced cost, size, weight, and power (C-SWaP design), and are regarded as an enabling technology for realizing the emerging concept of smart radio environments (SREs). In this paper, we (i) introduce the emerging research field of RIS-empowered SREs; (ii) overview the most suitable applications of RISs in wireless networks; (iii) present an electromagnetic-based communication-theoretic framework for analyzing and optimizing metamaterial-based RISs; (iv) provide a comprehensive overview of the current state of research; and (v) discuss the most important research issues to tackle. Owing to the interdisciplinary essence of RIS-empowered SREs, finally, we put forth the need of reconciling and reuniting C. E. Shannon’s mathematical theory of communication with G. Green’s and J. C. Maxwell’s mathematical theories of electromagnetism for appropriately modeling, analyzing, optimizing, and deploying future wireless networks empowered by RISs.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9140329/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9140329
dc.rightsThis is the submitted version of an article later published in IEEE Journal on Selected Areas in Communications. It is archived here with thanks to IEEE. (c) 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subject5G
dc.subject6G
dc.subjectreconfigurable intelligent surfaces
dc.subjectsmart radio environments
dc.subjectmathematical theory of communication
dc.subjectmathematical theory of electromagnetism
dc.titleSmart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentElectrical and Computer Engineering Program
dc.identifier.journalIEEE Journal on Selected Areas in Communications
dc.eprint.versionPre-print
dc.contributor.institutionUniversité Paris-Saclay, CNRS and CentraleSupélec, Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France.
dc.contributor.institutionUniversity of Cassino and Lazio Meridionale, Cassino, Italy.
dc.contributor.institutionHuawei France R&D, Boulogne-Billancourt, France.
dc.contributor.institutionSingapore University of Technology and Design (SUTD), Singapore.
dc.contributor.institutionParis Sciences & Lettres, CNRS, Institut Langevin, Paris, France.
dc.contributor.institutionAalto University, Helsinki, Finland.
dc.identifier.pages1-1
dc.identifier.arxivid2004.09352
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2021-03-24T06:05:37Z


Files in this item

Thumbnail
Name:
2004.09352.pdf
Size:
4.585Mb
Format:
PDF
Description:
Preprint

This item appears in the following Collection(s)

Show simple item record