{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T08:59:05Z","timestamp":1765357145582,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,4,10]],"date-time":"2022-04-10T00:00:00Z","timestamp":1649548800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,10]],"date-time":"2022-04-10T00:00:00Z","timestamp":1649548800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002701","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004725","name":"Ministry of Economic Affairs","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,10]]},"DOI":"10.1109\/wcnc51071.2022.9771981","type":"proceedings-article","created":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T20:45:39Z","timestamp":1652733939000},"page":"2459-2464","source":"Crossref","is-referenced-by-count":15,"title":["DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning"],"prefix":"10.1109","author":[{"given":"Benjamin","family":"Sliwa","sequence":"first","affiliation":[{"name":"TU Dortmund University,Communication Networks Institute,Dortmund,Germany,44227"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melina","family":"Geis","sequence":"additional","affiliation":[{"name":"TU Dortmund University,Communication Networks Institute,Dortmund,Germany,44227"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caner","family":"Bektas","sequence":"additional","affiliation":[{"name":"TU Dortmund University,Communication Networks Institute,Dortmund,Germany,44227"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melisa","family":"Lopez","sequence":"additional","affiliation":[{"name":"Aalborg University,Wireless Communication Networks,Aalborg,Denmark,9220"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Preben","family":"Mogensen","sequence":"additional","affiliation":[{"name":"Aalborg University,Wireless Communication Networks,Aalborg,Denmark,9220"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Wietfeld","sequence":"additional","affiliation":[{"name":"TU Dortmund University,Communication Networks Institute,Dortmund,Germany,44227"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref10"},{"journal-title":"Tech Rep","article-title":"White paper: Making 5G proactive and predictive for the automotive industry","year":"2020","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LCNW.2015.7365940"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2020.2988415"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2015.2410341"},{"key":"ref15","first-page":"38.901","article-title":"3GPP TR 38.901 - Study on channel model for frequencies from 0.5 to 100 GHz, V 16.1.0","year":"2019","journal-title":"3rd Generation Partnership Project (3GPP) Tech Rep"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2013.80"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2965856"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2018.8377405"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9014187"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2021-Fall52928.2021.9625210"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3060459"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2347736.2347755"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2694140"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964103"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2453991"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149180"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956211"},{"article-title":"6G white paper on machine learning in wireless communication networks","year":"2020","author":"ali","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3213232.3213237"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2680318"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2020.3018436"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2986202"},{"journal-title":"3rd Generation Partnership Project (3GPP) Tech Rep","article-title":"3GPP TS 38.215 - Physical layer measurements, V 16.4.0","year":"2020","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322089"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2019.8891340"},{"key":"ref23","article-title":"Continent-wide DEM creation for the European Union","author":"bashfield","year":"2011","journal-title":"34th International Symposium on Remote Sensing of Environment"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WONS.2011.5720204"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2019.8891526"}],"event":{"name":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","start":{"date-parts":[[2022,4,10]]},"location":"Austin, TX, USA","end":{"date-parts":[[2022,4,13]]}},"container-title":["2022 IEEE Wireless Communications and Networking Conference (WCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9771381\/9771540\/09771981.pdf?arnumber=9771981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T21:18:29Z","timestamp":1655759909000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9771981\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,10]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/wcnc51071.2022.9771981","relation":{},"subject":[],"published":{"date-parts":[[2022,4,10]]}}}