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Radio sensing using 5G signals : concepts, state-of-the-art and challenges

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Chen, Yunfei, Zhang, Jie, Feng, Wei and Alouini, Mohamed-Slim (2022) Radio sensing using 5G signals : concepts, state-of-the-art and challenges. IEEE Internet of Things Journal, 9 (2). pp. 1037-1052. doi:10.1109/JIOT.2021.3132494 ISSN 2327-4662.

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Official URL: https://doi.org/10.1109/JIOT.2021.3132494

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Abstract

Radio sensing has become increasingly important, as the demand for “smartness” is drastically increasing. Unlike conventional sensing, radio sensing uses existing radio signals or devices to passively sense the ambient environment for low cost and wide deployment. In this paper, a comprehensive overview of radio sensing using the recent fifth generation (5G) signals is provided. 5G systems have many merits, such as high frequency, large bandwidth, massive antenna array and dense network, making them ideal for radio sensing. In the overview, basic theories and concepts of 5G radio sensing are first introduced. Then, different state-of-the-art 5G sensing works are discussed based on their applications. These applications show that 5G radio sensing represents a step change in radio sensing. After that, several open challenges in 5G radio sensing are illustrated with relevant insights. These insights manifest that 5G radio sensing has great potentials to explore.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): 5G mobile communication systems, Wireless communication systems, Wireless sensor networks, Radio -- Receivers and reception, Cognitive radio networks
Journal or Publication Title: IEEE Internet of Things Journal
Publisher: IEEE
ISSN: 2327-4662
Official Date: 15 January 2022
Dates:
DateEvent
15 January 2022Published
3 December 2021Available
29 November 2021Accepted
Volume: 9
Number: 2
Page Range: pp. 1037-1052
DOI: 10.1109/JIOT.2021.3132494
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 2 December 2021
Date of first compliant Open Access: 6 December 2021
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
778305[ERC] H2020 DAWN4IoEUNSPECIFIED
2020YFA0711301National Key Research and Development Program of ChinaUNSPECIFIED
61941104[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61922049[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
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