{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T11:08:04Z","timestamp":1778065684206,"version":"3.51.4"},"reference-count":15,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"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 Commun. Mag."],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/mcom.001.2200023","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:31:59Z","timestamp":1667514719000},"page":"56-62","source":"Crossref","is-referenced-by-count":68,"title":["Machine Learning and Analytical Power Consumption Models for 5G Base Stations"],"prefix":"10.1109","volume":"60","author":[{"given":"Nicola","family":"Piovesan","sequence":"first","affiliation":[{"name":"Huawei Technologies,France"}]},{"given":"David","family":"Lopez-Perez","sequence":"additional","affiliation":[{"name":"Huawei Technologies,France"}]},{"given":"Antonio","family":"De Domenico","sequence":"additional","affiliation":[{"name":"Huawei Technologies,France"}]},{"given":"Xinli","family":"Geng","sequence":"additional","affiliation":[{"name":"Huawei Technologies,France"}]},{"given":"Harvey","family":"Bao","sequence":"additional","affiliation":[{"name":"Huawei Technologies,France"}]},{"given":"Merouane","family":"Debbah","sequence":"additional","affiliation":[{"name":"Huawei Technologies,France"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Green 5G: Building a Sustainable World","volume-title":"Huawei Technologies Co., Ltd.","year":"2020"},{"key":"ref2","article-title":"5G Energy Efficiencies: Green is the New Black","volume-title":"GSMA","year":"2020"},{"key":"ref3","volume-title":"Going Green: Benchmarking the Energy Efficiency of Mobile","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3142532"},{"key":"ref5","article-title":"Draft SID on NR Network Energy Saving Enhancement (RWS-210152)","volume-title":"3GPP TSG RAN Rel-18 Wksp.","year":"2021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3035186"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2019.2904609"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2011.6056691"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2015.7145603"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-0404-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2015.7417240"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2400437"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2403327"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685216"},{"key":"ref15","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"}],"container-title":["IEEE Communications Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/35\/9928159\/09928089.pdf?arnumber=9928089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T04:41:11Z","timestamp":1706071271000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9928089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":15,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/mcom.001.2200023","relation":{},"ISSN":["0163-6804","1558-1896"],"issn-type":[{"value":"0163-6804","type":"print"},{"value":"1558-1896","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}