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Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface. / Afzali, Nooshin; Omidi, Mohammad Javad; Navaie, Keivan et al.
2022 30th International Conference on Electrical Engineering, ICEE 2022. IEEE, 2022. p. 731-736 (2022 30th International Conference on Electrical Engineering (ICEE)).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Afzali, N, Omidi, MJ, Navaie, K & Moayedian, NS 2022, Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface. in 2022 30th International Conference on Electrical Engineering, ICEE 2022. 2022 30th International Conference on Electrical Engineering (ICEE), IEEE, pp. 731-736. https://doi.org/10.1109/icee55646.2022.9827014

APA

Afzali, N., Omidi, M. J., Navaie, K., & Moayedian, N. S. (2022). Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface. In 2022 30th International Conference on Electrical Engineering, ICEE 2022 (pp. 731-736). (2022 30th International Conference on Electrical Engineering (ICEE)). IEEE. https://doi.org/10.1109/icee55646.2022.9827014

Vancouver

Afzali N, Omidi MJ, Navaie K, Moayedian NS. Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface. In 2022 30th International Conference on Electrical Engineering, ICEE 2022. IEEE. 2022. p. 731-736. (2022 30th International Conference on Electrical Engineering (ICEE)). doi: 10.1109/icee55646.2022.9827014

Author

Afzali, Nooshin ; Omidi, Mohammad Javad ; Navaie, Keivan et al. / Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface. 2022 30th International Conference on Electrical Engineering, ICEE 2022. IEEE, 2022. pp. 731-736 (2022 30th International Conference on Electrical Engineering (ICEE)).

Bibtex

@inproceedings{cbb139552ce74680a9666afd40a628be,
title = "Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface",
abstract = "Reconfigurable Intelligent Surface (RIS) is a promising technology that has received much attention for indoor localization in recent years. This technology can control the propagation environment by passively changing reflected signals. Many RIS-based systems need complex operations for the RIS configuration. Also, fingerprint-based indoor localization methods need several access points to create different fingerprints for nearby areas. In this paper, we present a fingerprint-based indoor localization system using RIS. We conFigure RIS, change its configuration repeatedly, and create a vector for each fingerprint. Simulation results demonstrate that the proposed approach can accurately localize users with a single access point. Moreover, it is shown that some parameters such as the number of reference points, the number of RIS elements, and the number of RIS configurations significantly affect localization accuracy. In contrast, the results are independent of RIS location.",
author = "Nooshin Afzali and Omidi, {Mohammad Javad} and Keivan Navaie and Moayedian, {Naghmeh Sadat}",
year = "2022",
month = may,
day = "17",
doi = "10.1109/icee55646.2022.9827014",
language = "English",
series = "2022 30th International Conference on Electrical Engineering (ICEE)",
publisher = "IEEE",
pages = "731--736",
booktitle = "2022 30th International Conference on Electrical Engineering, ICEE 2022",

}

RIS

TY - GEN

T1 - Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface

AU - Afzali, Nooshin

AU - Omidi, Mohammad Javad

AU - Navaie, Keivan

AU - Moayedian, Naghmeh Sadat

PY - 2022/5/17

Y1 - 2022/5/17

N2 - Reconfigurable Intelligent Surface (RIS) is a promising technology that has received much attention for indoor localization in recent years. This technology can control the propagation environment by passively changing reflected signals. Many RIS-based systems need complex operations for the RIS configuration. Also, fingerprint-based indoor localization methods need several access points to create different fingerprints for nearby areas. In this paper, we present a fingerprint-based indoor localization system using RIS. We conFigure RIS, change its configuration repeatedly, and create a vector for each fingerprint. Simulation results demonstrate that the proposed approach can accurately localize users with a single access point. Moreover, it is shown that some parameters such as the number of reference points, the number of RIS elements, and the number of RIS configurations significantly affect localization accuracy. In contrast, the results are independent of RIS location.

AB - Reconfigurable Intelligent Surface (RIS) is a promising technology that has received much attention for indoor localization in recent years. This technology can control the propagation environment by passively changing reflected signals. Many RIS-based systems need complex operations for the RIS configuration. Also, fingerprint-based indoor localization methods need several access points to create different fingerprints for nearby areas. In this paper, we present a fingerprint-based indoor localization system using RIS. We conFigure RIS, change its configuration repeatedly, and create a vector for each fingerprint. Simulation results demonstrate that the proposed approach can accurately localize users with a single access point. Moreover, it is shown that some parameters such as the number of reference points, the number of RIS elements, and the number of RIS configurations significantly affect localization accuracy. In contrast, the results are independent of RIS location.

U2 - 10.1109/icee55646.2022.9827014

DO - 10.1109/icee55646.2022.9827014

M3 - Conference contribution/Paper

T3 - 2022 30th International Conference on Electrical Engineering (ICEE)

SP - 731

EP - 736

BT - 2022 30th International Conference on Electrical Engineering, ICEE 2022

PB - IEEE

ER -