{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T05:22:50Z","timestamp":1768281770043,"version":"3.49.0"},"reference-count":47,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Commun. Netw."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tccn.2025.3641515","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T18:42:14Z","timestamp":1765219334000},"page":"4502-4516","source":"Crossref","is-referenced-by-count":0,"title":["Task Offloading and Position Optimization for Large-Scale Unmanned Aerial Vehicle Networks: A Mean Field 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’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’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’an, 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\/0000-0001-7521-0078","authenticated-orcid":false,"given":"Kai-Kit","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Electronic and Electrical Engineering, University College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9561-3341","authenticated-orcid":false,"given":"Chan-Byoung","family":"Chae","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Yonsei University, Seoul, South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3317500"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3215192"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3123312"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3140796"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3338153"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3604933"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2024.3391664"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3350886"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3438946"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3512936"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3465591"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3344570"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3596444"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3482973"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916583"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3350078"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3488210"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3469977"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tccn.2025.3544822"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3207346"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2025.3540964"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tccn.2025.3555440"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3362988"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3331029"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2025.3542833"},{"key":"ref26","first-page":"5567","article-title":"Mean field multi-agent reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Yang"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3466116"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2025.3579748"},{"key":"ref29","article-title":"Dynamic trajectory and power control in ultra-dense UAV networks: A mean-field reinforcement learning approach","author":"Song","year":"2024","journal-title":"arXiv:2411.14052"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3549048"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2025.3574061"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3019065"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2923143"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3267330"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2928811"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3426312"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2688328"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3046788"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2816244"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2831230"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2965898"},{"key":"ref42","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":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2926465"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3485017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3186699"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3437761"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3587979"}],"container-title":["IEEE Transactions on Cognitive Communications and Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687307\/11304002\/11282967.pdf?arnumber=11282967","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:03:38Z","timestamp":1768255418000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11282967\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tccn.2025.3641515","relation":{},"ISSN":["2332-7731","2372-2045"],"issn-type":[{"value":"2332-7731","type":"electronic"},{"value":"2372-2045","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}