{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:36:49Z","timestamp":1777995409783,"version":"3.51.4"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"KKS Research Profile NIIT"},{"name":"MERIT"},{"name":"NSF","award":["CNS-2107216"],"award-info":[{"award-number":["CNS-2107216"]}]},{"name":"NSF","award":["CNS-2128368"],"award-info":[{"award-number":["CNS-2128368"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/tvt.2022.3188217","type":"journal-article","created":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T16:00:54Z","timestamp":1656950454000},"page":"10808-10822","source":"Crossref","is-referenced-by-count":54,"title":["Elastic O-RAN Slicing for Industrial Monitoring and Control: A Distributed Matching Game and Deep Reinforcement Learning Approach"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2966-6469","authenticated-orcid":false,"given":"Sarder Fakhrul","family":"Abedin","sequence":"first","affiliation":[{"name":"Department of Information Systems and Technology, Mid Sweden University, Sundsvall, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3717-7793","authenticated-orcid":false,"given":"Aamir","family":"Mahmood","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Technology, Mid Sweden University, Sundsvall, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7323-9213","authenticated-orcid":false,"given":"Nguyen H.","family":"Tran","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6606-5822","authenticated-orcid":false,"given":"Zhu","family":"Han","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Houston, Houston, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0873-7827","authenticated-orcid":false,"given":"Mikael","family":"Gidlund","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Technology, Mid Sweden University, Sundsvall, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIE.2022.3149209"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600935"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/OJVT.2020.2990072"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.107809"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-020-07231-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps56602.2022.10008676"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2945012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2852491"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2014.2356972"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3004162"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3122230"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737481"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737604"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.101.2001120"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2017.8292663"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011167"},{"key":"ref17","article-title":"Federated orchestration for network slicing of bandwidth and computational resource","author":"Li","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3417325"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3032165"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3048008"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2870888"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2019.8651712"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2933867"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3068518"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2019.2945254"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN41052.2019.8972306"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2936199"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3039617"},{"key":"ref29","first-page":"1","article-title":"Proactive dynamic network slicing with deep learning based short-term traffic prediction for 5G transport network","volume-title":"Proc. IEEE Opt. Fiber Commun. Conf. Exhib.","author":"Guo","year":"2019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3021024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WFCS47810.2020.9114409"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1601107"},{"key":"ref33","article-title":"IST-4-027756 WINNER II D1. 1.2 V1. 2 WINNER II Channel Models","author":"Bultitude","year":"2007"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888869"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IEEM.2017.8289839"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2735804"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2931538"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2017.2778501"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3019056"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962873"},{"key":"ref41","article-title":"O-RAN: Towards an open and smart RAN","author":"Alliance","year":"2021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44985-X_24"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7105641"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761081"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2021.3107022"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3067807"},{"key":"ref47","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","volume-title":"Proc. 12th USENIX Symp. Operating Syst. Des. Implementation (OSDI16)","author":"Abadi","year":"2016"},{"key":"ref48","article-title":"Ray RLlib: A composable and scalable reinforcement learning library","author":"Liang","year":"2017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2933867"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9014210"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3048992"},{"key":"ref52","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-80864-7_17"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/25\/9920678\/9813589-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/9920678\/09813589.pdf?arnumber=9813589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:05:20Z","timestamp":1706745920000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9813589\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":53,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2022.3188217","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.14994444","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.14994444.v1","asserted-by":"object"}]},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}