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Electromagnetic Modeling of Holographic Intelligent Reflecting Surfaces at Terahertz Bands

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

20212021 55th Asilomar Conference on Signals, Systems, and Computers15 citationsDOIOpen Access PDF

Abstract

Intelligent reflecting surface (IRS)-assisted wireless communication is widely deemed a key enabler 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.

Topics & Concepts

Terahertz radiationHolographyPath lossWavefrontFocus (optics)Computer scienceWirelessKey (lock)OpticsPhysicsElectromagnetic fieldField (mathematics)TelecommunicationsMathematicsComputer securityPure mathematicsQuantum mechanicsAdvanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface TechnologiesOptical Wireless Communication Technologies
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