Digital Twins for Generic Radio Environments Parametrized by Reconfigurable Intelligent Surfaces: Physics-Based vs. Physics-Agnostic Surrogate Models - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

Digital Twins for Generic Radio Environments Parametrized by Reconfigurable Intelligent Surfaces: Physics-Based vs. Physics-Agnostic Surrogate Models

Résumé

Optimizing the configuration of reconfigurable intelligent surfaces (RISs) in generic (potentially complex-scattering) radio environments for a desired communications or sensing functionality is challenging because of the non-linear manner in which the RIS impacts the wireless channel. The availability of a learned surrogate forward model of the mapping from RIS configuration to wireless channel can substantially facilitate the optimization problem. Here, we explore different approaches (physics-based vs. physics-agnostic) to learning such digital twins. © 2023, META Conference. All rights reserved.
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Dates et versions

hal-04282557 , version 1 (13-11-2023)

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  • HAL Id : hal-04282557 , version 1

Citer

Hugo Prod’homme, Philipp del Hougne. Digital Twins for Generic Radio Environments Parametrized by Reconfigurable Intelligent Surfaces: Physics-Based vs. Physics-Agnostic Surrogate Models. 13th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2023, Jul 2023, Paris, France. ⟨hal-04282557⟩
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