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dc.contributor.authorLiu, Yen_US
dc.contributor.authorZhou, Hen_US
dc.contributor.authorDeng, Yen_US
dc.contributor.authorNallanathan, Aen_US
dc.date.accessioned2024-07-12T10:48:24Z
dc.date.issued2023en_US
dc.identifier.issn0733-8716en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/98085
dc.format.extent2208 - 2222en_US
dc.relation.ispartofIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONSen_US
dc.rights© 2023 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.
dc.subjectNR-Uen_US
dc.subjectWiFien_US
dc.subjectURLLCen_US
dc.subjectdeep reinforcement learningen_US
dc.subjectchannel accessen_US
dc.titleChannel Access Optimization in Unlicensed Spectrum for Downlink URLLC: Centralized and Federated DRL Approachesen_US
dc.typeArticle
dc.identifier.doi10.1109/JSAC.2023.3280982en_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001024232900017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue7en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume41en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.funder.projectb215eee3-195d-4c4f-a85d-169a4331c138en_US


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