{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T04:14:15Z","timestamp":1784261655540,"version":"3.55.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2242022R30003"],"award-info":[{"award-number":["2242022R30003"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2242022K30005"],"award-info":[{"award-number":["2242022K30005"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20220810"],"award-info":[{"award-number":["BK20220810"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Research Foundation of South Africa","award":["148765"],"award-info":[{"award-number":["148765"]}]},{"name":"National Research Foundation of South Africa","award":["132651"],"award-info":[{"award-number":["132651"]}]},{"name":"National Research Foundation of South Africa","award":["129311"],"award-info":[{"award-number":["129311"]}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CNS-2107216"],"award-info":[{"award-number":["CNS-2107216"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CNS-2128368"],"award-info":[{"award-number":["CNS-2128368"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CMMI-2222810"],"award-info":[{"award-number":["CMMI-2222810"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,2,1]]},"DOI":"10.1109\/jiot.2022.3214525","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:39:04Z","timestamp":1665779944000},"page":"2667-2679","source":"Crossref","is-referenced-by-count":33,"title":["Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks"],"prefix":"10.1109","volume":"10","author":[{"given":"Hengxi","family":"Zhang","sequence":"first","affiliation":[{"name":"Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengyue","family":"Lu","sequence":"additional","affiliation":[{"name":"Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4463-1766","authenticated-orcid":false,"given":"Huaze","family":"Tang","sequence":"additional","affiliation":[{"name":"Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Wei","sequence":"additional","affiliation":[{"name":"Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8489-1933","authenticated-orcid":false,"given":"Le","family":"Liang","sequence":"additional","affiliation":[{"name":"National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7873-8206","authenticated-orcid":false,"given":"Ling","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0597-4512","authenticated-orcid":false,"given":"Wenbo","family":"Ding","sequence":"additional","affiliation":[{"name":"Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6606-5822","authenticated-orcid":false,"given":"Zhu","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"486","article-title":"A theoretical analysis of deep Q-learning","volume":"120","author":"fan","year":"2020","journal-title":"Proc 2nd Conf Learn Dyn Control"},{"key":"ref38","first-page":"5567","article-title":"Mean field multi-agent reinforcement learning","author":"yang","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71682-4_5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2847337"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2012.2190419"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49539-6"},{"key":"ref37","article-title":"Reinforcement learning for mean field games, with applications to economics","author":"angiuli","year":"2021","journal-title":"arXiv 2106 13755"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.23919\/JCN.2021.000035"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86905-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3045509"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.2965929"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3001682"},{"key":"ref40","article-title":"WF on SLS evaluation assumptions for EV2X","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2921352"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2018.8417882"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2865173"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2973267"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BF02601637"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2867029"},{"key":"ref18","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref28","first-page":"2681","article-title":"Deep decentralized multi-task multi-agent reinforcement learning under partial observability","author":"omidshafiei","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOMSTD.2019.1900008"},{"key":"ref27","article-title":"Learning mean-field games","author":"guo","year":"2019","journal-title":"arXiv 1901 09585"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/35.339881"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2007.897979"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231687"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3083065"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2003.817466"},{"key":"ref2","article-title":"Technical specification group radio access network; study LTE-based V2X services; (Release 14)","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2018.2883336"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2015.133"},{"key":"ref20","first-page":"1","article-title":"Reinforcement learning scheduler for vehicle-to-vehicle communications outside coverage","author":"?ahin","year":"2018","journal-title":"Proc IEEE Veh Netw Conf"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2827958"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2760281"},{"key":"ref24","article-title":"Multi-agent reinforcement learning for joint channel assignment and power allocation in platoon-based C-V2X systems","author":"vu","year":"2020","journal-title":"arXiv 2011 04555"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2019.8766581"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933962"},{"key":"ref26","first-page":"1039","article-title":"Nash Q-learning for general-sum stochastic games","volume":"4","author":"hu","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.32917\/hmj\/1206139508"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6488907\/10024910\/9919273-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10024910\/09919273.pdf?arnumber=9919273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T18:58:49Z","timestamp":1677524329000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9919273\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,1]]},"references-count":41,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2022.3214525","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,1]]}}}