{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:50:11Z","timestamp":1767423011082,"version":"3.37.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"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. Sustain. Comput."],"published-print":{"date-parts":[[2021,10,1]]},"DOI":"10.1109\/tsusc.2020.3025139","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T20:05:07Z","timestamp":1600459507000},"page":"626-640","source":"Crossref","is-referenced-by-count":19,"title":["Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2280-3336","authenticated-orcid":false,"given":"Dagnachew Azene","family":"Temesgene","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Miozzo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7725-395X","authenticated-orcid":false,"given":"Deniz","family":"Gunduz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6756-0289","authenticated-orcid":false,"given":"Paolo","family":"Dini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2017.2762402"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903499"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2016.2623950"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ENERGYCON.2014.6850501"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2012.6214289"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2012.10.060"},{"key":"ref37","first-page":"1","article-title":"Energy efficiency analysis of the reference systems, areas of improvements and target breakdown","author":"auer","year":"2012","journal-title":"EARTH Deliverable 2 3"},{"key":"ref36","first-page":"54","article-title":"Encoding and decoding cyclic data","volume":"16","author":"adams","year":"1998","journal-title":"The South Pacific Journal of Natural Science"},{"key":"ref35","volume":"1","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2018.8581000"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.913919"},{"key":"ref40","first-page":"20","article-title":"US solar photovoltaic system cost benchmark: Q1 2018","author":"fu","year":"2018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2019.09.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/itl2.7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2014.2359883"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC.2013.6675447"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2672964"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2013.030413.121120"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2015.7247475"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2015.2391852"},{"key":"ref28","article-title":"NGMN KPIs and deployment scenarios for consideration for IMT2020","author":"alliance","year":"2016","journal-title":"Deliverable Final"},{"key":"ref4","first-page":"1","article-title":"Mobile edge computing a key technology towards 5G","volume":"11","author":"hu","year":"2015","journal-title":"ETSI White Paper"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2954867"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/MCOM.2014.6710085","article-title":"Designing intelligent energy harvesting communication systems","volume":"52","author":"g\u00fcnd\u00fcz","year":"2014","journal-title":"IEEE Commun Mag"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2014.6963800"},{"year":"2017","key":"ref29","article-title":"TR 38.801: Study on new radio access technology: Radio access architecture and interfaces v14.0.0"},{"key":"ref5","first-page":"1","article-title":"Virtualization for small cells: Overview","year":"2015","journal-title":"Small Cell Forum"},{"key":"ref8","article-title":"Earth deliverable D2. 3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown","volume":"2","author":"auer","year":"2013","journal-title":"iLAND Project Deliverable 3 2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2012.124"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.5978416"},{"journal-title":"White Paper","article-title":"Cisco visual networking index: Global mobile data traffic forecast update, 2017&#x2013;2022","year":"2017","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2018.8690929"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/NTMS.2016.7792453"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2019.2938860"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2018.8417657"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2018.2829344"},{"journal-title":"Average Energy Prices","year":"2019","key":"ref41"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"2076","DOI":"10.1109\/TMC.2019.2922602","article-title":"DRAG: Deep reinforcement learning based base station activation in heterogeneous networks","volume":"19","author":"junhong","year":"2020","journal-title":"IEEE Trans Mobile Comput"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2018.8580970"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2016.7842069"}],"container-title":["IEEE Transactions on Sustainable Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274860\/9642444\/09200734.pdf?arnumber=9200734","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:22Z","timestamp":1652194462000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9200734\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":41,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tsusc.2020.3025139","relation":{},"ISSN":["2377-3782","2377-3790"],"issn-type":[{"type":"electronic","value":"2377-3782"},{"type":"electronic","value":"2377-3790"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}