{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T20:00:07Z","timestamp":1767988807572,"version":"3.49.0"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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":"publisher","award":["61731002"],"award-info":[{"award-number":["61731002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871015"],"award-info":[{"award-number":["61871015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/twc.2021.3088224","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T19:52:08Z","timestamp":1623959528000},"page":"7813-7825","source":"Crossref","is-referenced-by-count":18,"title":["Multicell Power Control Under Rate Constraints With Deep Learning"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5057-2347","authenticated-orcid":false,"given":"Yinghan","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2085-3292","authenticated-orcid":false,"given":"Shengqian","family":"Han","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0058-0765","authenticated-orcid":false,"given":"Chenyang","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2908906"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2019.8904143"},{"key":"ref12","first-page":"136","article-title":"OptNet: Differentiable optimization as a layer in neural networks","author":"amos","year":"2017","journal-title":"Proc ICLR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933890"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2013.6472201"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1561\/1300000009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2007.360373"},{"key":"ref18","year":"2010","journal-title":"Further Advancements for E-UTRA Physical Layer Aspects (Release 9)"},{"key":"ref19","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref4","author":"nocedal","year":"2006","journal-title":"Numerical Optimization"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2147784"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2957482"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2866382"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761431"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2870483"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2023751"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2007.05960"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2947514"},{"key":"ref20","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref21","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc AISTATS"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/9644636\/09459446.pdf?arnumber=9459446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T20:47:37Z","timestamp":1650919657000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9459446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":22,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/twc.2021.3088224","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]}}}