{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:44:22Z","timestamp":1780418662657,"version":"3.54.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2020.3048583","type":"journal-article","created":{"date-parts":[[2020,12,31]],"date-time":"2020-12-31T20:54:23Z","timestamp":1609448063000},"page":"3278-3290","source":"Crossref","is-referenced-by-count":75,"title":["FadeNet: Deep Learning-Based mm-Wave Large-Scale Channel Fading Prediction and its Applications"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6599-0549","authenticated-orcid":false,"given":"Vishnu V.","family":"Ratnam","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0814-9144","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sameer","family":"Pawar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingwen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charlie Jianzhong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young-Jin","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soonyoung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minsung","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2294-8068","authenticated-orcid":false,"given":"Sung-Rok","family":"Yoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2642904"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2014.6965971"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1412228.1412233"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-017-0141-z"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3035209"},{"key":"ref30","first-page":"1","article-title":"Prediction method by deep-learning for path loss characteristics in an open-square environment","author":"kuno","year":"2018","journal-title":"Proc Int Symp Antennas Propag (ISAP)"},{"key":"ref37","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref36","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":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref34","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention—MICCAI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/25.832994"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LAWP.2018.2883633"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2007.891811"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/APS.1997.631735"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/EuCAP.2012.6205808"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/RT.2007.4342591"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/EuCAP48036.2020.9135370"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2014.2308518"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LAWP.2016.2604021"},{"key":"ref18","article-title":"Simplified ray tracing for the millimeter wave channel: A performance evaluation","author":"lecci","year":"2020","journal-title":"arXiv 2002 09179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2015.2415036"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2017.2705112"},{"key":"ref4","author":"molisch","year":"2010","journal-title":"Wireless Communications"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2529\/PIERS070220023434"},{"key":"ref3","author":"damosso","year":"1999","journal-title":"Digital Mobile Radio Towards Future Generation Systems COST Action 231 European Commission Brussels"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2014.2310220"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"8489326:1","DOI":"10.1155\/2018\/8489326","article-title":"Air-to-air path loss prediction based on machine learning methods in urban environments","volume":"2018","author":"zhang","year":"2018","journal-title":"Wireless Commun Mobile Comput"},{"key":"ref5","first-page":"39","article-title":"WINNER II channel models","author":"meinil","year":"2010","journal-title":"Radio Technologies and Concepts for IMT-Advanced"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/25.330158"},{"key":"ref7","year":"2017","journal-title":"Study on Channel Model for Frequencies From 0 5 to 100 GHz"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/T-VT.1980.23859"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2727878"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/25.765022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2865724"},{"key":"ref45","year":"2017","journal-title":"Technical Specification Group Radio Access Network"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1908","DOI":"10.3390\/app9091908","article-title":"Path loss prediction based on machine learning: Principle, method, and data expansion","volume":"9","author":"zhang","year":"2019","journal-title":"Appl Sci"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-019-06275-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2010.2050502"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00010-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICMMT.2007.381345"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref26","first-page":"119","article-title":"A proposal for path loss prediction in urban environments using support vector regression","author":"timoteo","year":"2014","journal-title":"Proc Advanced Int Conf on Telecommun (AICT)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.1.1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/R10-HTC.2016.7906853"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/VETEC.1997.600436"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09311729.pdf?arnumber=9311729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T23:42:06Z","timestamp":1643154126000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9311729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3048583","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}