{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T15:24:45Z","timestamp":1776785085780,"version":"3.51.2"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000848","name":"University Of Edinburgh","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000848","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1633363"],"award-info":[{"award-number":["IIS-1633363"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1460316"],"award-info":[{"award-number":["CNS-1460316"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["AST-1460333"],"award-info":[{"award-number":["AST-1460333"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/twc.2018.2829773","type":"journal-article","created":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T20:54:33Z","timestamp":1526417673000},"page":"4674-4689","source":"Crossref","is-referenced-by-count":150,"title":["Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6625-1529","authenticated-orcid":false,"given":"Ursula","family":"Challita","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3083-7170","authenticated-orcid":false,"given":"Li","family":"Dong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2247-2458","authenticated-orcid":false,"given":"Walid","family":"Saad","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2707410"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref32","author":"sak","year":"2014","journal-title":"Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition"},{"key":"ref31","author":"ferdowsi","year":"2017","journal-title":"Deep learning for reliable mobile edge analytics in intelligent transportation systems"},{"key":"ref30","author":"zaremba","year":"2014","journal-title":"Recurrent Neural Network Regularization"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47175-4_9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICNP.2007.4375844"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref34","article-title":"Lecture 6.5—RMSProp: Divide the gradient by a running average of its recent magnitude","author":"tieleman","year":"2012","journal-title":"Neural Netw Mach Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2016.7524589"},{"key":"ref40","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2015.7343904"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2342356.2342402"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2011.5876497"},{"key":"ref14","year":"2011","journal-title":"Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Overall description Stage 2"},{"key":"ref15","year":"2015","journal-title":"Feasibility study on licensed-assisted access to unlicensed spectrum"},{"key":"ref16","year":"2017","journal-title":"5 GHz RLAN Harmonised Standard Covering the Essential Requirements of Article 3 2 of Directive 2014\/53\/EU"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1080091.1080107"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/49.840210"},{"key":"ref19","article-title":"Performance analysis of LTE-LAA network","author":"yi","year":"2017","journal-title":"IEEE Commun Lett"},{"key":"ref28","author":"chen","year":"2017","journal-title":"Machine learning for wireless networks with artificial intelligence A tutorial on neural networks"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2015.7247532"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2015.7247529"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2988287.2989143"},{"key":"ref29","author":"ferdowsi","year":"2017","journal-title":"Deep learning-based dynamic watermarking for secure signal authentication in the Internet of Things"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2942358.2942382"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2015.7390815"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2616400"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2015.7143339"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2015.7417539"},{"key":"ref1","first-page":"1","article-title":"Deep learning for proactive resource allocation in LTE-U networks","author":"challita","year":"2017","journal-title":"Proc of the European Wireless Conference (EW)"},{"key":"ref46","article-title":"A quantitative measure of fairness and discrimination for resource allocation in shared computer system","volume":"38","author":"jain","year":"1984"},{"key":"ref20","author":"gintis","year":"2000","journal-title":"Game Theory Evolving A Problem-Centered Introduction to Modeling Strategic Behavior"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1109\/SURV.2013.050113.00015","article-title":"Fairness in wireless networks: Issues, measures and challenges","volume":"16","author":"shi","year":"2014","journal-title":"IEEE Commun Surveys Tuts"},{"key":"ref48","first-page":"1519","article-title":"Learning step size controllers for robust neural network training","author":"daniel","year":"2016","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2005.862415"},{"key":"ref47","year":"2017","journal-title":"Basic Open-source Nonlinear Mixed Integer Programming"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/003355399556151"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/0108016"},{"key":"ref24","first-page":"1057","article-title":"Policy gradient methods for reinforcement learning with function approximation","volume":"12","author":"sutton","year":"2000","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","first-page":"489","article-title":"Learning to cooperate via policy search","author":"peshkin","year":"2000","journal-title":"Proc 16th Conf Uncertainty Artif Intell (UAI)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10287-009-0097-4"},{"key":"ref44","author":"balazinska","year":"2003","journal-title":"IBM Watson Research Center"},{"key":"ref26","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2307\/1969529"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/7693\/8409356\/8359094-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/8409356\/08359094.pdf?arnumber=8359094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:50:50Z","timestamp":1649443850000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8359094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":48,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/twc.2018.2829773","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7]]}}}