RIS-assisted near-field localization using practical phase shift model
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 confi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-54859-3 |
| _version_ | 1797274996436893696 |
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| author | Saber Hassouna Muhammad Ali Jamshed Masood Ur-Rehman Muhammad Ali Imran Qammer H. Abbasi |
| author_facet | Saber Hassouna Muhammad Ali Jamshed Masood Ur-Rehman Muhammad Ali Imran Qammer H. Abbasi |
| author_sort | Saber Hassouna |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T15:07:06Z |
| format | Article |
| id | doaj.art-44c3f640182e49d88049c7437f662c6f |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:07:06Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-44c3f640182e49d88049c7437f662c6f2024-03-05T18:51:41ZengNature PortfolioScientific Reports2045-23222024-02-0114111510.1038/s41598-024-54859-3RIS-assisted near-field localization using practical phase shift modelSaber Hassouna0Muhammad Ali Jamshed1Masood Ur-Rehman2Muhammad Ali Imran3Qammer H. Abbasi4James Watt School of Engineering, University of GlasgowJames Watt School of Engineering, University of GlasgowJames Watt School of Engineering, University of GlasgowJames Watt School of Engineering, University of GlasgowJames Watt School of Engineering, University of GlasgowAbstract 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.https://doi.org/10.1038/s41598-024-54859-3 |
| spellingShingle | Saber Hassouna Muhammad Ali Jamshed Masood Ur-Rehman Muhammad Ali Imran Qammer H. Abbasi RIS-assisted near-field localization using practical phase shift model Scientific Reports |
| title | RIS-assisted near-field localization using practical phase shift model |
| title_full | RIS-assisted near-field localization using practical phase shift model |
| title_fullStr | RIS-assisted near-field localization using practical phase shift model |
| title_full_unstemmed | RIS-assisted near-field localization using practical phase shift model |
| title_short | RIS-assisted near-field localization using practical phase shift model |
| title_sort | ris assisted near field localization using practical phase shift model |
| url | https://doi.org/10.1038/s41598-024-54859-3 |
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