Perceptive, Resilient, and Efficient Networks assisted by Reconfigurable Intelligent Surfaces

Fuente: arXiv
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Autori principali: Stratidakis, Giorgos, Droulias, Sotiris, Alexiou, Angeliki
Natura: Preprint
Pubblicazione: 2023
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author Stratidakis, Giorgos
Droulias, Sotiris
Alexiou, Angeliki
author_facet Stratidakis, Giorgos
Droulias, Sotiris
Alexiou, Angeliki
contents Wireless communications are nowadays shifting to higher operation frequencies with the aim to meet the ever-increasing demand for bandwidth. While reconfigurable intelligent surfaces (RISs) are usually envisioned to restore the line-of-sight of blocked links and to efficiently counteract the increased pathloss, their functionalities can extend far beyond these basic operations. Owing to their large surface and the multitude of scatterers, RISs can be exploited to perform advanced wavefront engineering, essentially transforming the incident beam into a non-trivial reflected beam that is able to address the challenges of high frequencies more efficiently than conventional beam-forming. In this paper it is demonstrated how advanced wavefront engineering with RISs enables beam profiles that are able to focus, bend and self-heal, thus offering functionalities beyond the current state-of-the-art. Their potential as enablers of perceptive, resilient, and efficient networks is discussed, and a localization technique based on a hybrid beam-forming/beam-focusing scheme is demonstrated.
format Preprint
id arxiv_https___arxiv_org_abs_2312_01009
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Perceptive, Resilient, and Efficient Networks assisted by Reconfigurable Intelligent Surfaces
Stratidakis, Giorgos
Droulias, Sotiris
Alexiou, Angeliki
Signal Processing
Wireless communications are nowadays shifting to higher operation frequencies with the aim to meet the ever-increasing demand for bandwidth. While reconfigurable intelligent surfaces (RISs) are usually envisioned to restore the line-of-sight of blocked links and to efficiently counteract the increased pathloss, their functionalities can extend far beyond these basic operations. Owing to their large surface and the multitude of scatterers, RISs can be exploited to perform advanced wavefront engineering, essentially transforming the incident beam into a non-trivial reflected beam that is able to address the challenges of high frequencies more efficiently than conventional beam-forming. In this paper it is demonstrated how advanced wavefront engineering with RISs enables beam profiles that are able to focus, bend and self-heal, thus offering functionalities beyond the current state-of-the-art. Their potential as enablers of perceptive, resilient, and efficient networks is discussed, and a localization technique based on a hybrid beam-forming/beam-focusing scheme is demonstrated.
title Perceptive, Resilient, and Efficient Networks assisted by Reconfigurable Intelligent Surfaces
topic Signal Processing
url https://arxiv.org/abs/2312.01009