Framework for an Innovative Perceptive Mobile Network Using Joint Communication and Sensing

Zhang, JA; Cantoni, A; Huang, X; Guo, YJ; Heath, RW

Framework for an Innovative Perceptive Mobile Network Using Joint Communication and Sensing

Zhang, JA

Cantoni, A Huang, X

Guo, YJ

Heath, RW

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2017, 2017-June
Issue Date:: 2017-11-14

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Field	Value	Language
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Cantoni, A	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	Heath, RW	en_US
dc.date.available	2020-05-25T19:23:57Z
dc.date.issued	2017-11-14	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2017, 2017-June	en_US
dc.identifier.isbn	9781509059324	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/103039
dc.description.abstract	© 2017 IEEE. In this paper, we develop a framework for an innovative perceptive mobile (i.e. cellular) network that integrates sensing with communication, and supports new applications widely in transportation, surveillance and environmental sensing. Three types of sensing methods implemented in the base-stations are proposed, using either uplink or downlink multiuser communication signals. The required changes to system hardware and major technical challenges are briefly discussed. We also demonstrate the feasibility of estimating sensing parameters via developing a compressive sensing based scheme and providing simulation results to validate its effectiveness.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCSpring.2017.8108564	en_US
dc.title	Framework for an Innovative Perceptive Mobile Network Using Joint Communication and Sensing	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-June	en_US
utslib.for	0805 Distributed Computing	en_US
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
pubs.publication-status	Published	en_US
pubs.volume	2017-June	en_US

Abstract:

© 2017 IEEE. In this paper, we develop a framework for an innovative perceptive mobile (i.e. cellular) network that integrates sensing with communication, and supports new applications widely in transportation, surveillance and environmental sensing. Three types of sensing methods implemented in the base-stations are proposed, using either uplink or downlink multiuser communication signals. The required changes to system hardware and major technical challenges are briefly discussed. We also demonstrate the feasibility of estimating sensing parameters via developing a compressive sensing based scheme and providing simulation results to validate its effectiveness.

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http://hdl.handle.net/10453/103039