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RIS Optimal Element Selection for Enhanced Indoor Positioning Systems

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RIS Optimal Element Selection for Enhanced Indoor Positioning Systems. / Bazin, Somayeh; Navaie, Keivan.
2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 75-79 (2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Bazin, S & Navaie, K 2023, RIS Optimal Element Selection for Enhanced Indoor Positioning Systems. in 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings. 2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), Institute of Electrical and Electronics Engineers Inc., pp. 75-79, 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023, Milano, Italy, 29/05/23. https://doi.org/10.1109/MetroLivEnv56897.2023.10164061

APA

Bazin, S., & Navaie, K. (2023). RIS Optimal Element Selection for Enhanced Indoor Positioning Systems. In 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings (pp. 75-79). (2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MetroLivEnv56897.2023.10164061

Vancouver

Bazin S, Navaie K. RIS Optimal Element Selection for Enhanced Indoor Positioning Systems. In 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 75-79. (2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)). doi: 10.1109/MetroLivEnv56897.2023.10164061

Author

Bazin, Somayeh ; Navaie, Keivan. / RIS Optimal Element Selection for Enhanced Indoor Positioning Systems. 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 75-79 (2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)).

Bibtex

@inproceedings{f0758caaf3f94e7b9b10a332b18871f6,
title = "RIS Optimal Element Selection for Enhanced Indoor Positioning Systems",
abstract = "This paper proposes the use of Reconfigurable Intelligent Surfaces (RIS) to customize the Received Signal Strength (RSS) distribution in an indoor environment for an Indoor Positioning System (IPS). RIS is a promising technology that can improve wireless communication by manipulating the propagation of electromagnetic waves. Considering RSS distribution as an essential factor that directly affects the accuracy and reliability of indoor location estimation, in this study, we propose a novel IPS architecture that incorporates RIS as an intermediate layer to control the signal propagation between the transmitter and receiver. Then, intelligently search for RIS elements that can directly and freely change the RSS value in any particular positioning of the environment. Consequently, any arbitrary distribution of the RSS and radio map can be customized in an indoor environment without requiring RIS to change its configuration in time slots in order to support multi-users. By designing a radio map of an indoor environment, RIS can improve the accuracy and reliability of IPS, making it a valuable technology for various applications such as indoor navigation, asset tracking, smart building applications, and indoor augmented reality.",
keywords = "Indoor positioning systems, Received signal strength, Reconfigurable intelligent surface",
author = "Somayeh Bazin and Keivan Navaie",
year = "2023",
month = may,
day = "29",
doi = "10.1109/MetroLivEnv56897.2023.10164061",
language = "English",
series = "2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "75--79",
booktitle = "2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings",
note = "2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 ; Conference date: 29-05-2023 Through 31-05-2023",

}

RIS

TY - GEN

T1 - RIS Optimal Element Selection for Enhanced Indoor Positioning Systems

AU - Bazin, Somayeh

AU - Navaie, Keivan

PY - 2023/5/29

Y1 - 2023/5/29

N2 - This paper proposes the use of Reconfigurable Intelligent Surfaces (RIS) to customize the Received Signal Strength (RSS) distribution in an indoor environment for an Indoor Positioning System (IPS). RIS is a promising technology that can improve wireless communication by manipulating the propagation of electromagnetic waves. Considering RSS distribution as an essential factor that directly affects the accuracy and reliability of indoor location estimation, in this study, we propose a novel IPS architecture that incorporates RIS as an intermediate layer to control the signal propagation between the transmitter and receiver. Then, intelligently search for RIS elements that can directly and freely change the RSS value in any particular positioning of the environment. Consequently, any arbitrary distribution of the RSS and radio map can be customized in an indoor environment without requiring RIS to change its configuration in time slots in order to support multi-users. By designing a radio map of an indoor environment, RIS can improve the accuracy and reliability of IPS, making it a valuable technology for various applications such as indoor navigation, asset tracking, smart building applications, and indoor augmented reality.

AB - This paper proposes the use of Reconfigurable Intelligent Surfaces (RIS) to customize the Received Signal Strength (RSS) distribution in an indoor environment for an Indoor Positioning System (IPS). RIS is a promising technology that can improve wireless communication by manipulating the propagation of electromagnetic waves. Considering RSS distribution as an essential factor that directly affects the accuracy and reliability of indoor location estimation, in this study, we propose a novel IPS architecture that incorporates RIS as an intermediate layer to control the signal propagation between the transmitter and receiver. Then, intelligently search for RIS elements that can directly and freely change the RSS value in any particular positioning of the environment. Consequently, any arbitrary distribution of the RSS and radio map can be customized in an indoor environment without requiring RIS to change its configuration in time slots in order to support multi-users. By designing a radio map of an indoor environment, RIS can improve the accuracy and reliability of IPS, making it a valuable technology for various applications such as indoor navigation, asset tracking, smart building applications, and indoor augmented reality.

KW - Indoor positioning systems

KW - Received signal strength

KW - Reconfigurable intelligent surface

U2 - 10.1109/MetroLivEnv56897.2023.10164061

DO - 10.1109/MetroLivEnv56897.2023.10164061

M3 - Conference contribution/Paper

AN - SCOPUS:85165420520

T3 - 2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)

SP - 75

EP - 79

BT - 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2023

Y2 - 29 May 2023 through 31 May 2023

ER -