RIS-aided Localization under Pixel Failures
Artikel i vetenskaplig tidskrift, 2024

Reconfigurable intelligent surfaces (RISs) hold great potential as one of the key technological enablers for beyond-5G wireless networks, improving localization and communication performance under line-of-sight (LoS) blockage conditions. However, hardware imperfections might cause RIS elements to become faulty, a problem referred to as pixel failures, which can constitute a major showstopper especially for localization. In this paper, we investigate the problem of RIS-aided localization of a user equipment (UE) under LoS blockage in the presence of RIS pixel failures, considering the challenging single-input single-output (SISO) scenario. We first explore the impact of such failures on accuracy through misspecified Cramer-Rao bound (MCRB) analysis, which reveals severe performance loss with even a small percentage of pixel failures. To remedy this issue, we develop two strategies for joint localization and failure diagnosis (JLFD) to detect failing pixels while simultaneously locating the UE with high accuracy. The first strategy relies on l_1-regularization through exploitation of failure sparsity. The second strategy detects the failures one-by-one by solving a multiple hypothesis testing problem at each iteration, successively enhancing localization and diagnosis accuracy. Simulation results show significant performance improvements of the proposed JLFD algorithms over the conventional failure-agnostic benchmark, enabling successful recovery of failure-induced performance degradations.

Localization

pixel failures

near-field

diagnosis

hardware impairments

reconfigurable intelligent surfaces

Författare

Cuneyd Ozturk

Northwestern University

Musa Furkan Keskin

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Vincenzo Sciancalepore

NEC Laboratories Europe GmbH

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Sinan Gezici

Bilkent Universitesi

IEEE Transactions on Wireless Communications

15361276 (ISSN) 15582248 (eISSN)

Vol. 23 8 8314-8329

Hårdvarumedveten integrerad lokalisering och avkänning för kommunikationssystem

Vetenskapsrådet (VR) (2022-03007), 2023-01-01 -- 2026-12-31.

Reconfigurable Intelligent Sustainable Environments for 6G Wireless Networks

Europeiska kommissionen (EU) (EC/2020/101017011), 2021-01-01 -- 2023-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.1109/TWC.2023.3348421

Mer information

Senast uppdaterat

2024-09-07