{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T16:03:32Z","timestamp":1774022612734,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,8]]},"DOI":"10.1109\/globecom52923.2024.10901213","type":"proceedings-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T17:30:35Z","timestamp":1741714235000},"page":"4956-4962","source":"Crossref","is-referenced-by-count":3,"title":["Joint power control, beamforming, and sleep-mode selection for energy-efficient cell-free networks using surrogate machine learning models"],"prefix":"10.1109","author":[{"given":"Ricky","family":"Ooi","sequence":"first","affiliation":[{"name":"Fraunhofer Heinrich Hertz Institute,Berlin,Germany"}]},{"given":"Rouaa","family":"Diab","sequence":"additional","affiliation":[{"name":"Fraunhofer Heinrich Hertz Institute,Berlin,Germany"}]},{"given":"Lorenzo","family":"Miretti","sequence":"additional","affiliation":[{"name":"Fraunhofer Heinrich Hertz Institute,Berlin,Germany"}]},{"given":"Renato L. G.","family":"Cavalcante","sequence":"additional","affiliation":[{"name":"Fraunhofer Heinrich Hertz Institute,Berlin,Germany"}]},{"given":"S\u0142awomir","family":"Sta\u0144czak","sequence":"additional","affiliation":[{"name":"Fraunhofer Heinrich Hertz Institute,Berlin,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2655515"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1507-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1561\/2000000109"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2335093"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2018.8417645"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2017.2770215"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2019.2908228"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2019.2932071"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/2000000093"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3006083"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2969815"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148948"},{"key":"ref13","first-page":"1","article-title":"Deep reinforcement learning for dynamic access point activation in cell-free MIMO networks","volume-title":"WSA 2021; 25th International ITG Workshop on Smart Antennas, pp","author":"Mendoza"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC60668.2024.10694441"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3147895"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF53345.2021.9723321"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2024.3376809"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3207291"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2502544"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/49.414651"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139026079"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008306431147"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071278"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3031620"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/0041-5553(69)90061-5"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1791212.1791238"},{"key":"ref27","article-title":"Trieste: Efficiently exploring the depths of black-box functions with TensorFlow","author":"Picheny","year":"2023"},{"key":"ref28","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"Abadi","year":"2015"},{"key":"ref29","first-page":"1","article-title":"GPflow: A Gaussian process library using TensorFlow","volume":"18","author":"Matthews","year":"2017","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","location":"Cape Town, South Africa","start":{"date-parts":[[2024,12,8]]},"end":{"date-parts":[[2024,12,12]]}},"container-title":["GLOBECOM 2024 - 2024 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10900933\/10900934\/10901213.pdf?arnumber=10901213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T06:07:49Z","timestamp":1741759669000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10901213\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/globecom52923.2024.10901213","relation":{},"subject":[],"published":{"date-parts":[[2024,12,8]]}}}