Electromagnetic modeling of holographic intelligent reflecting surfaces at Terahertz bands

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• dc.contributor.author Dovelos, Konstantinos
• dc.contributor.author Assimonis, Stylianos D.
• dc.contributor.author Ngo, Hien Quoc
• dc.contributor.author Bellalta, Boris
• dc.contributor.author Matthaiou, Michail
• dc.date.accessioned 2023-03-06T07:26:02Z
• dc.date.available 2023-03-06T07:26:02Z
• dc.date.issued 2021
• dc.description Comunicació presentada a 2021 55th Asilomar Conference on Signals, Systems, and Computers, celebrat del 31 d'octubre al 3 de novembre de 2021 de manera virtual.
• dc.description.abstract Intelligent reflecting surface (IRS)-assisted wireless communication is widely deemed a key technology for 6G systems. The main challenge in deploying an IRS-aided terahertz (THz) link, though, is the severe propagation losses at high frequency bands. Hence, a THz IRS is expected to consist of a massive number of reflecting elements to compensate for those losses. However, as the IRS size grows, the conventional far-field assumption starts becoming invalid and the spherical wavefront of the radiated waves must be taken into account. In this work, we focus on the near-field and analytically determine the IRS response in the Fresnel zone by leveraging electromagnetic theory. Specifically, we derive a novel expression for the path loss and beampattern of a holographic IRS, which is then used to model its discrete counterpart. Our analysis sheds light on the modeling aspects and beamfocusing capabilities of THz IRSs.
• dc.description.sponsorship This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101001331).
• dc.format.mimetype application/pdf
• dc.identifier.citation Dovelos K, Assimonis SD, Ngo HQ, Bellalta B, Matthaiou M. Electromagnetic modeling of holographic intelligent reflecting surfaces at Terahertz bands. In: Conference record of The Fifty-Fifth Asilomar Conference on Signals, Systems & Computers; 2021 Oct 31-Nov 3; Pacific Grove, United States. [Piscataway]: IEEE; 2021. p. 415-20. DOI: 10.1109/IEEECONF53345.2021.9723188
• dc.identifier.doi http://dx.doi.org/10.1109/IEEECONF53345.2021.9723188
• dc.identifier.issn 1058-6393
• dc.identifier.uri http://hdl.handle.net/10230/56045
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof Conference record of The Fifty-Fifth Asilomar Conference on Signals, Systems & Computers; 2021 Oct 31-Nov 3; Pacific Grove, United States. [Piscataway]: IEEE; 2021. p. 415-20.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101001331
• dc.rights © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. http://dx.doi.org/10.1109/IEEECONF53345.2021.9723188
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword beamfocusing
• dc.subject.keyword electromagnetics
• dc.subject.keyword intelligent reflecting surfaces
• dc.subject.keyword near-field
• dc.subject.keyword THz communications
• dc.title Electromagnetic modeling of holographic intelligent reflecting surfaces at Terahertz bands
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion