dc.contributor.author | Liu, Y | en_US |
dc.contributor.author | Zhou, H | en_US |
dc.contributor.author | Deng, Y | en_US |
dc.contributor.author | Nallanathan, A | en_US |
dc.date.accessioned | 2024-07-19T10:29:47Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 2334-0983 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/98249 | |
dc.format.extent | 591 - 596 | en_US |
dc.subject | 5G NR-U | en_US |
dc.subject | WiFi | en_US |
dc.subject | URLLC | en_US |
dc.subject | Deep Reinforcement Learning | en_US |
dc.subject | Channel Access | en_US |
dc.title | DRL-based Channel Access in NR Unlicensed Spectrum for Downlink URLLC | en_US |
dc.type | Conference Proceeding | |
dc.rights.holder | © 2023, published by IEEE | |
dc.identifier.doi | 10.1109/GLOBECOM48099.2022.10000882 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000922633500098&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
rioxxterms.funder.project | b215eee3-195d-4c4f-a85d-169a4331c138 | en_US |