Joint Communication and Radar Sensing in 5G Mobile Network by Compressive Sensing

Rahman, ML; Cui, PF; Zhang, JA; Huang, X; Guo, YJ; Lu, Z

Joint Communication and Radar Sensing in 5G Mobile Network by Compressive Sensing

Rahman, ML Cui, PF Zhang, JA

Huang, X

Guo, YJ

Lu, Z

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019, 2019, pp. 599 - 604
Issue Date:: 2019-09-01

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Field	Value	Language
dc.contributor.author	Rahman, ML	en_US
dc.contributor.author	Cui, PF	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.contributor.author	Lu, Z	en_US
dc.date.issued	2019-09-01	en_US
dc.identifier.citation	Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019, 2019, pp. 599 - 604	en_US
dc.identifier.isbn	9781728150093	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137900
dc.description.abstract	© 2019 IEEE. There is growing interest in integrating communication and radar sensing into one system. However, very limited results are reported on how to realize sensing using complicated mobile signals when joint communication and radar sensing (JCAS) is applied to mobile networks. This paper studies radar sensing using one-dimension (1D) to 3D compressive sensing (CS) techniques, referring to signals compatible with latest fifth generation (5G) new radio (NR) standard. We demonstrate that radio sensing using both downlink and uplink 5G signals can be realized with reasonable performance using these CS techniques, and highlight the respective advantages and disadvantages of these techniques.1	en_US
dc.relation.ispartof	Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019	en_US
dc.relation.isbasedon	10.1109/ISCIT.2019.8905229	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Joint Communication and Radar Sensing in 5G Mobile Network by Compressive Sensing	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-09-22T00:00:00+1000
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. There is growing interest in integrating communication and radar sensing into one system. However, very limited results are reported on how to realize sensing using complicated mobile signals when joint communication and radar sensing (JCAS) is applied to mobile networks. This paper studies radar sensing using one-dimension (1D) to 3D compressive sensing (CS) techniques, referring to signals compatible with latest fifth generation (5G) new radio (NR) standard. We demonstrate that radio sensing using both downlink and uplink 5G signals can be realized with reasonable performance using these CS techniques, and highlight the respective advantages and disadvantages of these techniques.1

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