Hassouna, S., Jamshed, M. A., Ur-Rehman, M. , Imran, M. A. and Abbasi, Q. H. (2024) RIS-assisted near-field localization using practical phase shift model. Scientific Reports, 14, 4350. (doi: 10.1038/s41598-024-54859-3) (PMID:38388740) (PMCID:PMC10883918)
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Abstract
Our research focuses on examining the problem of localizing user equipment (UE) in the uplink scenario using reconfigurable intelligent surfaces (RIS) based lens. We carry out a thorough analysis of the Fisher information matrix (FIM) and assess the influence of various RIS-based lens configurations using an actual RIS phase-dependent amplitude variations model. Furthermore, to reduce the complexity of the maximum likelihood (ML) estimator, a simple localization algorithm-based angular expansion is presented. Simulation results show superior localization performance when prior location information is available for directional and positional channel configurations. The position error bound (PEB) and the root mean square error (RMSE) are studied to evaluate the localization accuracy of the user utilizing the realistic RIS phase-dependent amplitude model in the near-field region. Furthermore, the achievable data rate is obtained in the same region using the realistic RIS phase-dependent amplitude model. It is noticed that adopting the actual RIS phase-dependent amplitude model under the near-field channel increases the localization error and degrades the data rate performance for amplitude value less than one so, the unity assumption of the RIS phase shift model used widely in the literature is inaccurate.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work is supported by EPSRC grant no: EP/X040518/1. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad and Ur Rehman, Dr Masood and Jamshed, Dr Muhammad Ali and Hassouna, Saber and Abbasi, Professor Qammer |
| Authors: | Hassouna, S., Jamshed, M. A., Ur-Rehman, M., Imran, M. A., and Abbasi, Q. H. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Scientific Reports |
| Publisher: | Nature Research |
| ISSN: | 2045-2322 |
| ISSN (Online): | 2045-2322 |
| Copyright Holders: | Copyright © 2024 The Authors |
| First Published: | First published in Scientific Reports 14: 4350 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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