{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:47:43Z","timestamp":1784134063575,"version":"3.55.0"},"reference-count":15,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61601336"],"award-info":[{"award-number":["61601336"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"A STAR-NTU-SUTD Joint Research","award":["RGANS1906"],"award-info":[{"award-number":["RGANS1906"]}]},{"name":"A STAR-NTU-SUTD Joint Research","award":["WASP\/NTU M4082187 (4080)"],"award-info":[{"award-number":["WASP\/NTU M4082187 (4080)"]}]},{"name":"Singapore MOE Tier 1","award":["2017-T1-002-007 RG122\/17"],"award-info":[{"award-number":["2017-T1-002-007 RG122\/17"]}]},{"name":"MOE Tier 2","award":["MOE2014-T2-2-015 ARC4\/15"],"award-info":[{"award-number":["MOE2014-T2-2-015 ARC4\/15"]}]},{"name":"Singapore","award":["NRF2015-NRF-ISF001-2277"],"award-info":[{"award-number":["NRF2015-NRF-ISF001-2277"]}]},{"name":"Singapore EMA Energy Resilience","award":["NRF2017EWT-EP003-041"],"award-info":[{"award-number":["NRF2017EWT-EP003-041"]}]},{"name":"NTU internal funding SUG-CoE","award":["M4082287"],"award-info":[{"award-number":["M4082287"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Veh. Technol. Mag."],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/mvt.2019.2903655","type":"journal-article","created":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T19:52:08Z","timestamp":1558727528000},"page":"44-52","source":"Crossref","is-referenced-by-count":255,"title":["Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4440-941X","authenticated-orcid":false,"given":"Zehui","family":"Xiong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9229-7689","authenticated-orcid":false,"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-7416","authenticated-orcid":false,"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8158-150X","authenticated-orcid":false,"given":"Ruilong","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1599-5480","authenticated-orcid":false,"given":"Ping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9242-2352","authenticated-orcid":false,"given":"Li-Chun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2018.8362276"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600951"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2760281"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2867191"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057045"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2859918"},{"key":"ref4","article-title":"Applications of deep reinforcement learning in communications and networking: A survey","author":"luong","year":"2018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2018.8403505"},{"key":"ref5","article-title":"Deep reinforcement learning for distributed dynamic power allocation in wireless networks","author":"nasir","year":"2018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2876279"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2018.8422442"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1613\/jair.301"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2018.2811185"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2018.8377343"}],"container-title":["IEEE Vehicular Technology Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10209\/8721247\/08683970.pdf?arnumber=8683970","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:11:25Z","timestamp":1657746685000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683970\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":15,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/mvt.2019.2903655","relation":{},"ISSN":["1556-6072","1556-6080"],"issn-type":[{"value":"1556-6072","type":"print"},{"value":"1556-6080","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6]]}}}