A Novel Partitioning Scheme for RIS Identification and Beamforming

Fuente: arXiv
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Main Authors: Gevez, Yarkın, Khaleel, Aymen, Basar, Ertugrul
Format: Preprint
Published: 2025
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author Gevez, Yarkın
Khaleel, Aymen
Basar, Ertugrul
author_facet Gevez, Yarkın
Khaleel, Aymen
Basar, Ertugrul
contents This letter introduces a novel partitioning scheme for reconfigurable intelligent surfaces (RISs) that simultaneously consider RIS identification and beamforming. The proposed scheme dynamicly and efficiently allocates RIS elements between identification and beamforming users, considering the different performance metrics associated with each of them. By employing a dynamic partitioning algorithm that efficiently manage the RIS resources (elements), the scheme significantly enhances the signal-to-noise ratio (SNR) while maintaining reliable identification performance. Finally, theoretical analysis and computer simulations are provided to demonstrate the validity of the proposed scheme.
format Preprint
id arxiv_https___arxiv_org_abs_2511_11335
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Novel Partitioning Scheme for RIS Identification and Beamforming
Gevez, Yarkın
Khaleel, Aymen
Basar, Ertugrul
Signal Processing
Information Theory
This letter introduces a novel partitioning scheme for reconfigurable intelligent surfaces (RISs) that simultaneously consider RIS identification and beamforming. The proposed scheme dynamicly and efficiently allocates RIS elements between identification and beamforming users, considering the different performance metrics associated with each of them. By employing a dynamic partitioning algorithm that efficiently manage the RIS resources (elements), the scheme significantly enhances the signal-to-noise ratio (SNR) while maintaining reliable identification performance. Finally, theoretical analysis and computer simulations are provided to demonstrate the validity of the proposed scheme.
title A Novel Partitioning Scheme for RIS Identification and Beamforming
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2511.11335