{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T09:19:02Z","timestamp":1768468742544,"version":"3.49.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100016692","name":"Key Research and Development Program of Shaanxi","doi-asserted-by":"publisher","award":["2024GX-YBXM-019"],"award-info":[{"award-number":["2024GX-YBXM-019"]}],"id":[{"id":"10.13039\/100016692","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Grid Jiangxi Electric Power Co., Ltd. Technology Project","award":["5218G024000K"],"award-info":[{"award-number":["5218G024000K"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62401421"],"award-info":[{"award-number":["62401421"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2025A1515010123"],"award-info":[{"award-number":["2025A1515010123"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things","award":["2023B1212010007"],"award-info":[{"award-number":["2023B1212010007"]}]},{"DOI":"10.13039\/501100010256","name":"Guangzhou Municipal Science and Technology Project","doi-asserted-by":"publisher","award":["2024GX-YBXM-019"],"award-info":[{"award-number":["2024GX-YBXM-019"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010256","name":"Guangzhou Municipal Science and Technology Project","doi-asserted-by":"publisher","award":["2023B1212010007"],"award-info":[{"award-number":["2023B1212010007"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Commun. Netw."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tccn.2025.3638769","type":"journal-article","created":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T18:44:13Z","timestamp":1764355453000},"page":"4687-4701","source":"Crossref","is-referenced-by-count":0,"title":["Task Offloading on Dense Electric Intelligent Vehicular Networks: A Mean Field Deep Reinforcement Learning Approach"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4660-6465","authenticated-orcid":false,"given":"Huixian","family":"Gu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3374-6066","authenticated-orcid":false,"given":"Liqiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9431-9391","authenticated-orcid":false,"given":"Kai","family":"Liang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5206-1225","authenticated-orcid":false,"given":"Hong","family":"Xing","sequence":"additional","affiliation":[{"name":"IoT Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8220-6525","authenticated-orcid":false,"given":"Hongyang","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8457-6477","authenticated-orcid":false,"given":"Gan","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Warwick, Coventry, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8337-5884","authenticated-orcid":false,"given":"Arumugam","family":"Nallanathan","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3370169"},{"key":"ref2","article-title":"6G: The intelligent network of everything","author":"Pennanen","year":"2024","journal-title":"arXiv:2407.09398"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3061582"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3338153"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3216748"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.018.2100717"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800230"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2872996"},{"key":"ref9","volume-title":"Autonomous Vehicles: Boon or Bane for Energy Efficiency?","author":"Verkehrswende","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3239579"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.125.2200187"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228959"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3224032"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3292387"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09996-w"},{"key":"ref16","article-title":"ReaCritic: Large reasoning transformer-based DRL critic-model scaling for heterogeneous networks","author":"You","year":"2025","journal-title":"arXiv:2505.10992"},{"key":"ref17","article-title":"DRESS: Diffusion reasoning-based reward shaping scheme for intelligent networks","author":"You","year":"2025","journal-title":"arXiv:2503.07433"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120560"},{"key":"ref19","first-page":"5567","article-title":"Mean field multi-agent reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Yang"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2023.3264934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3333241"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45041.2023.10279101"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3078913"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3332956"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3430507"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108426"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3430112"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3355868"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3245721"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSN55126.2022.9817573"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3466116"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3484764"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3422506"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2023.103048"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3168292"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3247013"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3028963"},{"key":"ref38","article-title":"Learning in mean field games: A survey","author":"Lauri\u00e8re","year":"2022","journal-title":"arXiv:2205.12944"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3045509"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.32917\/hmj\/1206139508"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71682-4_5"},{"key":"ref42","first-page":"6379","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume-title":"Proc. NIPS","author":"Lowe"},{"key":"ref43","first-page":"5143","article-title":"Competitive multi-agent inverse reinforcement learning with sub-optimal demonstrations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang"}],"container-title":["IEEE Transactions on Cognitive Communications and Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687307\/11304002\/11271475.pdf?arnumber=11271475","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:41:23Z","timestamp":1768423283000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11271475\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tccn.2025.3638769","relation":{},"ISSN":["2332-7731","2372-2045"],"issn-type":[{"value":"2332-7731","type":"electronic"},{"value":"2372-2045","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}