{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T00:16:51Z","timestamp":1774743411913,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"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":["U1806201"],"award-info":[{"award-number":["U1806201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientists Sponsorship by CAST and NSFC","award":["61771152"],"award-info":[{"award-number":["61771152"]}]},{"name":"Young Elite Scientists Sponsorship by CAST and NSFC","award":["11774074"],"award-info":[{"award-number":["11774074"]}]},{"DOI":"10.13039\/501100013290","name":"National Key Research and Development Program of China Stem Cell and Translational Research","doi-asserted-by":"publisher","award":["2018YFC0308500"],"award-info":[{"award-number":["2018YFC0308500"]}],"id":[{"id":"10.13039\/501100013290","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sustainable Funding of the Key Laboratory of Underwater Acoustic Technology","award":["JCKYS2020604SSJS015"],"award-info":[{"award-number":["JCKYS2020604SSJS015"]}]},{"name":"Fundamental Scientific Research Expenses of Central Universities","award":["3072020CFJ0506"],"award-info":[{"award-number":["3072020CFJ0506"]}]},{"DOI":"10.13039\/501100002790","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002790","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1109\/tvt.2021.3099797","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T22:01:21Z","timestamp":1627336881000},"page":"9063-9076","source":"Crossref","is-referenced-by-count":80,"title":["Channel State Information Prediction for Adaptive Underwater Acoustic Downlink OFDMA System: Deep Neural Networks Based Approach"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8907-8741","authenticated-orcid":false,"given":"Lei","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1093-4865","authenticated-orcid":false,"given":"Lin","family":"Cai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0541-3173","authenticated-orcid":false,"given":"Lu","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4767-0015","authenticated-orcid":false,"given":"Gang","family":"Qiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3049239"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906424"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2013.112613.130455"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2904897"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.038"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2924010"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2018.2848960"},{"key":"ref36","first-page":"1","article-title":"Enabling FDD massive MIMO through deep learning-based channel prediction","author":"arnold","year":"0","journal-title":"Proc IEEE Int Workshop Signal Process Adv Wireless Commun"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935463"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/6497340"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2965856"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2019.2921627"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1121\/1.408135"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WONS.2008.4459349"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2882890"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DSP-SPE.2013.6642587"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS.2015.7404461"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICITBS.2018.00044"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.830985"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2019.2911446"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2002.800818"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/18.720541"},{"key":"ref55","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref54","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref53","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/9781118693865"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2018.8604521"},{"key":"ref11","first-page":"811","article-title":"A heuristic resource allocation method for underwater uplink OFDMA system","author":"cheon","year":"0","journal-title":"Proc IEEE 7th Int Conf Ubiquitous Future Netw"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/26.293672"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2016.000054"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2892812"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2004.833411"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/Oceans-Spain.2011.6003438"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2013.2251808"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2015.7248542"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2015.03.018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s13344-017-0030-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2013.2278787"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.1998.724347"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1654130.1654136"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1121\/1.2935305"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2013.2253212"},{"key":"ref7","article-title":"Analysis and optimization of OFDM underwater acoustic communications","author":"huang","year":"2011"},{"key":"ref49","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2014.2323365"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2899990"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1989.118638"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref47","article-title":"Unsupervised learning and deep learning tutorial","year":"2011"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1986.1164950"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.828926"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2038424"},{"key":"ref43","first-page":"140","article-title":"Adaptive prediction of channels with sparse features in OFDM systems","volume":"5","author":"changwei","year":"2013","journal-title":"Int J Antennas Propag"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/9541131\/09496076.pdf?arnumber=9496076","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:48:43Z","timestamp":1652194123000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9496076\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":55,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2021.3099797","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9]]}}}