Machine Learning-Based Cyclostationary Spectrum Sensing in Cognitive Dual Satellite Networks

Ngo, QT; Jayawickrama, B; He, Y; Dutkiewicz, E

Machine Learning-Based Cyclostationary Spectrum Sensing in Cognitive Dual Satellite Networks

Ngo, QT Jayawickrama, B He, Y Dutkiewicz, E

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2023 22nd International Symposium on Communications and Information Technologies (ISCIT), 2023, 00, pp. 1-5
Issue Date:: 2023-10-18

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Full metadata record

Field	Value	Language
dc.contributor.author	Ngo, QT
dc.contributor.author	Jayawickrama, B
dc.contributor.author	He, Y
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286
dc.date	2023-10-16
dc.date.accessioned	2024-01-15T05:01:25Z
dc.date.available	2024-01-15T05:01:25Z
dc.date.issued	2023-10-18
dc.identifier.citation	2023 22nd International Symposium on Communications and Information Technologies (ISCIT), 2023, 00, pp. 1-5
dc.identifier.uri	http://hdl.handle.net/10453/174457
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2023 22nd International Symposium on Communications and Information Technologies (ISCIT)
dc.relation.ispartof	2023 22nd International Symposium on Communications and Information Technologies (ISCIT)
dc.relation.isbasedon	10.1109/iscit57293.2023.10376043
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Machine Learning-Based Cyclostationary Spectrum Sensing in Cognitive Dual Satellite Networks
dc.type	Conference Proceeding
utslib.citation.volume	00
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2026-01-03T00:00:00+1000Z
dc.date.updated	2024-01-15T05:01:24Z
pubs.finish-date	2023-10-18
pubs.publication-status	Published
pubs.start-date	2023-10-16
pubs.volume	00

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/174457