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dc.contributor.authorJiang, N
dc.contributor.authorDeng, Y
dc.contributor.authorNallanathan, A
dc.date.accessioned2021-06-03T14:55:21Z
dc.date.available2021-06-03T14:55:21Z
dc.date.issued2021-03-01
dc.identifier.issn0163-6804
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/72293
dc.description.abstract© 2021 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.en_US
dc.format.extent16 - 22
dc.relation.ispartofIEEE Communications Magazine
dc.titleTraffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approachesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/mcom.001.2000099
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.volume59en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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