Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

Ngo, QT Phan, KT Mahmood, A Xiang, W

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, pp. 1-12
Issue Date:: 2024

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Full metadata record

Field	Value	Language
dc.contributor.author	Ngo, QT
dc.contributor.author	Phan, KT
dc.contributor.author	Mahmood, A
dc.contributor.author	Xiang, W
dc.date.accessioned	2024-04-01T00:45:18Z
dc.date.available	2024-04-01T00:45:18Z
dc.date.issued	2024
dc.identifier.citation	IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, pp. 1-12
dc.identifier.issn	2471-285X
dc.identifier.uri	http://hdl.handle.net/10453/177386
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Emerging Topics in Computational Intelligence
dc.relation.isbasedon	10.1109/tetci.2024.3378605
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	4603 Computer vision and multimedia computation
dc.subject.classification	4611 Machine learning
dc.title	Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach
dc.type	Journal Article
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
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2026-03-28T00:00:00+1000Z
dc.date.updated	2024-04-01T00:45:17Z
pubs.publication-status	Published

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