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dc.contributor.authorLiu, Yen_US
dc.contributor.authorZhong, Ren_US
dc.contributor.authorJaber, Men_US
dc.date.accessioned2023-05-30T09:11:59Z
dc.date.available2022-08-02en_US
dc.date.issued2022en_US
dc.identifier.issn2334-0983en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/88505
dc.format.extent3827 - 3832en_US
dc.subjectBeamformingen_US
dc.subjectDeep reinforcement learning (DRL)en_US
dc.subjectNon-orthogonal multiple access (NOMA)en_US
dc.subjectProximal policy optimization (PPO)en_US
dc.titleA Reinforcement Learning Approach for Energy Efficient Beamforming in NOMA Systemsen_US
dc.typeConference Proceeding
dc.identifier.doi10.1109/GLOBECOM48099.2022.10000828en_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000922633503143&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US


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