{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T05:48:01Z","timestamp":1785476881169,"version":"3.56.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Xi&#x0027;an Key Laboratory of Advanced Control and Intelligent Process","award":["2019220714SYS022CG04"],"award-info":[{"award-number":["2019220714SYS022CG04"]}]},{"name":"Key R&amp;D Plan of Shaanxi Province","award":["2021ZDLGY04-04"],"award-info":[{"award-number":["2021ZDLGY04-04"]}]},{"name":"Collaborative Innovation Project of Xi&#x0027;an Science and Technology Bureau","award":["24KGDW0022"],"award-info":[{"award-number":["24KGDW0022"]}]},{"name":"Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy","award":["GML-KF-24-34"],"award-info":[{"award-number":["GML-KF-24-34"]}]},{"name":"Open Research Fund of the National Mobile Communications Research Laboratory"},{"DOI":"10.13039\/501100008081","name":"Southeast University","doi-asserted-by":"publisher","award":["2026D03"],"award-info":[{"award-number":["2026D03"]}],"id":[{"id":"10.13039\/501100008081","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of Embedded System and Service Computing"},{"DOI":"10.13039\/501100004204","name":"Tongji University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004204","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","award":["ESSCKF2024-10"],"award-info":[{"award-number":["ESSCKF2024-10"]}],"id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence"},{"DOI":"10.13039\/501100003347","name":"Fudan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","award":["25Z670102051"],"award-info":[{"award-number":["25Z670102051"]}],"id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tvt.2026.3666220","type":"journal-article","created":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T20:57:29Z","timestamp":1771534649000},"page":"15009-15022","source":"Crossref","is-referenced-by-count":1,"title":["Model-Based Decentralized Joint Optimization of Resource Allocation, Phase Shift, and UAV Trajectory for Energy-Efficient RIS Assisted UAV-MEC Systems"],"prefix":"10.1109","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6183-4680","authenticated-orcid":false,"given":"Liangshun","family":"Wu","sequence":"first","affiliation":[{"name":"School of Communications and Information Engineering, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7398-2731","authenticated-orcid":false,"given":"Tao","family":"Tao","sequence":"additional","affiliation":[{"name":"Department of Information and Computer Sciences, University of Osaka, Suita, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2511-5843","authenticated-orcid":false,"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0845-4942","authenticated-orcid":false,"given":"Jianbo","family":"Du","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6247-1412","authenticated-orcid":false,"given":"Junsuo","family":"Qu","sequence":"additional","affiliation":[{"name":"Xi&#x0027;an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi&#x0027;an University of Posts and Telecommunications, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3397648"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2025.3633941"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3179028"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3154822"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3311537"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3454280"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3454702"},{"key":"ref8","article-title":"Energy-efficient aerial STAR-RIS-aided computing offloading and content caching for wireless sensor networks","volume-title":"Sensors","volume":"25","author":"Yang","year":"2025"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2023.3287604"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s24020337"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3560835"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2023.109784"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3521012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/iotm.001.2300111"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3476422"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3074885"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9683779"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3540530"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/icc52391.2025.11161205"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3556246"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3562806"},{"key":"ref22","first-page":"1266","article-title":"A survey on trajectory planning and resource allocation in unmanned aerial vehicle-assisted edge computing networks","volume-title":"J. Electron. Inf. Technol.","volume":"47","author":"Wang","year":"2025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3372877"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2023.3277540"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2025.3543216"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2422780"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2021.3086441"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09996-w"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.913919"},{"key":"ref30","first-page":"7825","article-title":"Multi-agent reinforcement learning in stochastic networked systems","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lin","year":"2021"},{"key":"ref31","first-page":"2074","article-title":"Scalable multi-agent reinforcement learning for networked systems with average reward","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Qu","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014967"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2019.2901791"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/466"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-024-00879-7"},{"key":"ref36","article-title":"Learning when to communicate at scale in multiagent cooperative and competitive tasks","author":"Singh","year":"2018"},{"key":"ref37","article-title":"Learning to communicate with deep multi-agent reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Foerster","year":"2016"},{"key":"ref38","first-page":"5872","article-title":"Fully decentralized multi-agent reinforcement learning with networked agents","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3672608.3707923"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tac.2025.3570065"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/25\/11614322\/11399920.pdf?arnumber=11399920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T04:59:21Z","timestamp":1784609961000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11399920\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":40,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2026.3666220","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}