Measurement-Based Small-Scale Channel Model for Sub-6 GHz RIS-Assisted Communications

Fuente: arXiv
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Autori principali: Sang, Jian, Lan, Jifeng, Zhou, Mingyong, Gao, Boning, Tang, Wankai, Li, Xiao, Matthaiou, Michail, Jin, Shi, Di Renzo, Marco
Natura: Preprint
Pubblicazione: 2023
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author Sang, Jian
Lan, Jifeng
Zhou, Mingyong
Gao, Boning
Tang, Wankai
Li, Xiao
Matthaiou, Michail
Jin, Shi
Di Renzo, Marco
author_facet Sang, Jian
Lan, Jifeng
Zhou, Mingyong
Gao, Boning
Tang, Wankai
Li, Xiao
Matthaiou, Michail
Jin, Shi
Di Renzo, Marco
contents Reconfigurable intelligent surfaces (RISs) have attracted increasing interest from both academia and industry, thanks to their unique features on controlling electromagnetic (EM) waves. Although theoretical models for RIS-empowered communications have covered a variety of applications, yet, very few papers have investigated the modeling of real propagation characteristics. In this paper, we fill this gap by providing an empirical statistical channel model to describe the small-scale channel variations for an RIS-assisted broadband system at 2.6 GHz. Based on real channel measurements in outdoor, indoor and outdoor-to-indoor (O2I) environments, we compare and analyze the global, inter-cluster and intra-cluster parameters. Measurement results indicate that the deployment of an RIS with proper phase configurations can significantly improve the channel quality by enhancing the $K$-factor and reducing the time dispersion. The small-scale fading is well characterized by the proposed statistical model and the empirical channel parameters. These results are essential for the design of emerging RIS-assisted wireless systems for future applications.
format Preprint
id arxiv_https___arxiv_org_abs_2310_13266
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Measurement-Based Small-Scale Channel Model for Sub-6 GHz RIS-Assisted Communications
Sang, Jian
Lan, Jifeng
Zhou, Mingyong
Gao, Boning
Tang, Wankai
Li, Xiao
Matthaiou, Michail
Jin, Shi
Di Renzo, Marco
Information Theory
Reconfigurable intelligent surfaces (RISs) have attracted increasing interest from both academia and industry, thanks to their unique features on controlling electromagnetic (EM) waves. Although theoretical models for RIS-empowered communications have covered a variety of applications, yet, very few papers have investigated the modeling of real propagation characteristics. In this paper, we fill this gap by providing an empirical statistical channel model to describe the small-scale channel variations for an RIS-assisted broadband system at 2.6 GHz. Based on real channel measurements in outdoor, indoor and outdoor-to-indoor (O2I) environments, we compare and analyze the global, inter-cluster and intra-cluster parameters. Measurement results indicate that the deployment of an RIS with proper phase configurations can significantly improve the channel quality by enhancing the $K$-factor and reducing the time dispersion. The small-scale fading is well characterized by the proposed statistical model and the empirical channel parameters. These results are essential for the design of emerging RIS-assisted wireless systems for future applications.
title Measurement-Based Small-Scale Channel Model for Sub-6 GHz RIS-Assisted Communications
topic Information Theory
url https://arxiv.org/abs/2310.13266