{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T12:56:40Z","timestamp":1780318600098,"version":"3.54.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2020JBZD005"],"award-info":[{"award-number":["2020JBZD005"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61901029"],"award-info":[{"award-number":["61901029"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L212029"],"award-info":[{"award-number":["L212029"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005023","name":"State Key Laboratory of Rail Traffic Control and Safety","doi-asserted-by":"publisher","award":["RCS2020ZZ005"],"award-info":[{"award-number":["RCS2020ZZ005"]}],"id":[{"id":"10.13039\/501100005023","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,4]]},"DOI":"10.1109\/globecom48099.2022.10001700","type":"proceedings-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T22:24:18Z","timestamp":1673475858000},"page":"952-957","source":"Crossref","is-referenced-by-count":21,"title":["A Multi - Task Learning Model for Super Resolution of Wireless Channel Characteristics"],"prefix":"10.1109","author":[{"given":"Xiping","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danping","family":"He","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Guan","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongliang","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwu","family":"Dou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahid","family":"Mumtaz","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunicações,Aveiro,Portugal,1049-001"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saba","family":"Al-Rubaye","sequence":"additional","affiliation":[{"name":"School of Aerospace, Transport and Manufacturing, Cranfield University, Central Bedfordshire,Cranfield,UK,2717"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"issue":"2","key":"ref1","first-page":"01","article-title":"Editorial: special topic on edge intelligence for internet of things","volume":"19","author":"Liu","year":"2021","journal-title":"ZTE Communications"},{"issue":"01","key":"ref2","first-page":"69","article-title":"Optimization of urban bus network based on map api data and gis path analysis","volume":"46","author":"Wu","year":"2022","journal-title":"Beijing Jiaotong University"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.3035442"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700281"},{"issue":"02","key":"ref5","first-page":"64","article-title":"Optimized communication resource allocation in vehicular networks based on multi-agent deep reinforcement learning","volume":"46","author":"Fang","year":"2022","journal-title":"Beijing Jiaotong University"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3023153"},{"key":"ref7","article-title":"lst-4-027756 winner ii dl. 1. 2 v1. 2 winner ii channel models","volume-title":"Tech. Rep","author":"Bultitude","year":"2007"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/EuCAP48036.2020.9135220"},{"issue":"3","key":"ref9","first-page":"8","article-title":"Path loss prediction based on machine learning and satellite image","volume":"37","author":"He","year":"2022","journal-title":"Chinese journal of radio science"},{"issue":"3","key":"ref10","first-page":"9","article-title":"Path loss prediction based on multi-layer perceptron artificial neural network","volume":"36","author":"Wu","year":"2021","journal-title":"Chinese journal of radio science"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3054977"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/isape54070.2021.9753644"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2020.101253"},{"issue":"S01","key":"ref14","first-page":"12","article-title":"Multi-task learning with dynamic splitting for open-set wireless signal recognition","volume":"20","author":"Xu","year":"2022","journal-title":"ZTE Communications"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2865724"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/AP-S\/USNC-URSI47032.2022.9886969"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00781"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"}],"event":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","location":"Rio de Janeiro, Brazil","start":{"date-parts":[[2022,12,4]]},"end":{"date-parts":[[2022,12,8]]}},"container-title":["GLOBECOM 2022 - 2022 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10000063\/10000593\/10001700.pdf?arnumber=10001700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T17:01:38Z","timestamp":1745514098000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10001700\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/globecom48099.2022.10001700","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}