Electromagnetic modeling of holographic intelligent reflecting surfaces at Terahertz bands

Dovelos, Konstantinos; Assimonis, Stylianos D.; Ngo, Hien Quoc; Bellalta, Boris; Matthaiou, Michail

doi:http://dx.doi.org/10.1109/IEEECONF53345.2021.9723188

Electromagnetic modeling of holographic intelligent reflecting surfaces at Terahertz bands

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

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.

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.