| dc.contributor.author | Wang, Y | en_US |
| dc.contributor.author | Zhao, L | en_US |
| dc.contributor.author | Chu, X | en_US |
| dc.contributor.author | Song, S | en_US |
| dc.contributor.author | Deng, Y | en_US |
| dc.contributor.author | Nallanathan, A | en_US |
| dc.contributor.author | Liang, K | en_US |
| dc.date.accessioned | 2024-07-16T08:37:26Z | |
| dc.date.issued | 2022 | en_US |
| dc.identifier.issn | 0018-9545 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/98166 | |
| dc.format.extent | 12179 - 12194 | en_US |
| dc.relation.ispartof | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | en_US |
| dc.subject | Control- and user-plane separation | en_US |
| dc.subject | deep deterministic policy gradient | en_US |
| dc.subject | end-to-end network slicing | en_US |
| dc.subject | utility | en_US |
| dc.title | Deep Reinforcement Learning-Based Optimization for End-to-End Network Slicing With Control- and User-Plane Separation | en_US |
| dc.type | Article | |
| dc.rights.holder | © 2022 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.identifier.doi | 10.1109/TVT.2022.3191882 | en_US |
| pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000888042800066&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.issue | 11 | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 71 | 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 |
