PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading - Université de Rennes Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Wireless Communications Année : 2023

PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading

Résumé

Programmable radio environments parametrized by reconfigurable intelligent surfaces (RISs) are emerging as a new wireless communications paradigm, but currently used channel models for the design and analysis of signal-processing algorithms cannot include fading in a manner that is faithful to the underlying wave physics. To overcome this roadblock, we introduce a physics-based end-to-end model of RIS-parametrized wireless channels with adjustable fading (coined PhysFad) which is based on a first-principles coupled-dipole formalism. PhysFad naturally incorporates the notions of space and causality, dispersion (i.e., frequency selectivity) and the intertwinement of each RIS element's phase and amplitude response, as well as any arising mutual coupling effects including long-range mesoscopic correlations. The latter are induced by reverberation and yield a highly nonlinear parametrization of wireless channels through RISs, a pivotal property which is to date completely overlooked. PhysFad offers the to-date missing tuning knob for physics-compliant adjustable fading. We thoroughly characterize PhysFad and demonstrate its capabilities for a prototypical problem of RIS-enabled over-the-air channel equalization in richscattering wireless communications. We also share a user-friendly version of our code to help the community transition towards physics-based models with adjustable fading.
Fichier principal
Vignette du fichier
Faqiri et al - 2022 - PhysFad- Physics-Based End-to-End Channel_FINAL VERSION.pdf (25.42 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03808213 , version 1 (10-10-2022)

Identifiants

Citer

Rashid Faqiri, Chloé Saigre-Tardif, George C Alexandropoulos, Nir Shlezinger, Mohammadreza F Imani, et al.. PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading. IEEE Transactions on Wireless Communications, 2023, 22 (1), pp.580-595. ⟨10.1109/TWC.2022.3196834⟩. ⟨hal-03808213⟩
38 Consultations
10 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More