RIScan: RIS-aided Multi-user Indoor Localization Using COTS Wi-Fi-Reference-Cited by-同舟云学术

RIScan: RIS-aided Multi-user Indoor Localization Using COTS Wi-Fi

Published:2023-11-12 Issue: Volume:70 Page:445-458
ISSN:
Container-title:Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
language:
Short-container-title:

Author:

Li Chenggao¹^ORCID,Huang Qianyi²^ORCID,Zhou Yuxuan¹^ORCID,Huang Yandao³^ORCID,Hu Qingyong¹^ORCID,Chen Huangxun⁴^ORCID,Zhang Qian¹^ORCID

Affiliation:

1. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong

2. Sun Yat-sen University (SYSU), Guang Zhou, China

3. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

4. Huawei, Hong Kong, Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625687.3625806

Reference54 articles.

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3. Zohair Abu-Shaban, Kamran Keykhosravi, Musa Furkan Keskin, George C Alexan-dropoulos, Gonzalo Seco-Granados, and Henk Wymeersch. 2021. Near-field localization with a reconfigurable intelligent surface acting as lens. In ICC 2021-IEEE International Conference on Communications. IEEE, 1--6.

4. Nooshin Afzali, Mohammad Javad Omidi, Keivan Navaie, and Naghmeh Sadat Moayedian. 2022. Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface. In 2022 30th International Conference on Electrical Engineering (ICEE). IEEE, 731--736.

5. Venkat Arun and Hari Balakrishnan. 2020. {RFocus}: Beamforming using thousands of passive antennas. In 17th USENIX symposium on networked systems design and implementation (NSDI 20). 1047--1061.