A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels

Résumé

We present a framework for operating a selfadaptive RIS inside a fading rich-scattering wireless environment. We model the rich-scattering wireless channel as being doubleparametrized by (i) the RIS, and (ii) dynamic perturbers (moving objects, etc.). Within each coherence time, first, the self-adaptive RIS estimates the status of the dynamic perturbers (e.g., the perturbers' orientations and locations) based on measurements with an auxiliary wireless channel. Then, second, using a learned surrogate forward model of the mapping from RIS configuration and perturber status to wireless channel, an optimized RIS configuration to achieve a desired functionality is obtained. We demonstrate our technique using a physics-based end-toend model of RIS-parametrized communication with adjustable fading (PhysFad) for the example objective of maximizing the received signal strength indicator. Our results present a route toward convergence of RIS-empowered localization and sensing with RIS-empowered channel shaping beyond the simple case of operation in free space without fading.
Fichier principal
Vignette du fichier
A_self-adaptive_RIS_that_estimates_and_shapes_fading_rich-scattering_wireless_channels.pdf (15.12 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03849876 , version 1 (12-11-2022)

Identifiants

Citer

Chloe Saigre-Tardif, Philipp del Hougne. A self-adaptive RIS that estimates and shapes fading rich-scattering wireless channels. 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring), Jun 2022, Helsinki, Finland. pp.1-5, ⟨10.1109/VTC2022-Spring54318.2022.9860667⟩. ⟨hal-03849876⟩
16 Consultations
23 Téléchargements

Altmetric

Partager

More