{"id":"https://openalex.org/W4285144285","doi":"https://doi.org/10.1109/tgcn.2022.3173414","title":"Digital-Twin-Enabled City-Model-Aware Deep Learning for Dynamic Channel Estimation in Urban Vehicular Environments","display_name":"Digital-Twin-Enabled City-Model-Aware Deep Learning for Dynamic Channel Estimation in Urban Vehicular Environments","publication_year":2022,"publication_date":"2022-05-09","ids":{"openalex":"https://openalex.org/W4285144285","doi":"https://doi.org/10.1109/tgcn.2022.3173414"},"language":"en","primary_location":{"id":"doi:10.1109/tgcn.2022.3173414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2022.3173414","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Green Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/96332/1/Ding_Digital-Twin-Enabled_Vehicular_Environments.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021485945","display_name":"Cao Ding","orcid":"https://orcid.org/0000-0002-7532-5809"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Cao Ding","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018293126","display_name":"Ivan Wang\u2010Hei Ho","orcid":"https://orcid.org/0000-0003-0043-2025"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ivan Wang-Hei Ho","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021485945"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":4.144,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94777264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"6","issue":"3","first_page":"1604","last_page":"1612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439125180244446},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6440375447273254},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6049717664718628},{"id":"https://openalex.org/keywords/canyon","display_name":"Canyon","score":0.48199954628944397},{"id":"https://openalex.org/keywords/replica","display_name":"Replica","score":0.4563380777835846},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44157612323760986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42560875415802},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.42403626441955566},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41667911410331726},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3568565249443054},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3533652126789093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29164278507232666},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18883806467056274},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10304829478263855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439125180244446},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6440375447273254},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6049717664718628},{"id":"https://openalex.org/C84859931","wikidata":"https://www.wikidata.org/wiki/Q150784","display_name":"Canyon","level":2,"score":0.48199954628944397},{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.4563380777835846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44157612323760986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42560875415802},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.42403626441955566},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41667911410331726},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3568565249443054},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3533652126789093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29164278507232666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18883806467056274},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10304829478263855},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgcn.2022.3173414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2022.3173414","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Green Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/96332","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/96332","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/96332/1/Ding_Digital-Twin-Enabled_Vehicular_Environments.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/96332","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/96332","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/96332/1/Ding_Digital-Twin-Enabled_Vehicular_Environments.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3649748469","display_name":null,"funder_award_id":"1-ZVTJ","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G3939293562","display_name":null,"funder_award_id":"15201118","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285144285.pdf","grobid_xml":"https://content.openalex.org/works/W4285144285.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W588135687","https://openalex.org/W1509061701","https://openalex.org/W1974476877","https://openalex.org/W1979460674","https://openalex.org/W2030920523","https://openalex.org/W2099411281","https://openalex.org/W2111802688","https://openalex.org/W2114004090","https://openalex.org/W2118040894","https://openalex.org/W2130917709","https://openalex.org/W2136978440","https://openalex.org/W2140516799","https://openalex.org/W2160015451","https://openalex.org/W2167943378","https://openalex.org/W2461378669","https://openalex.org/W2524779218","https://openalex.org/W2739176864","https://openalex.org/W2765408322","https://openalex.org/W2906427993","https://openalex.org/W2963145597","https://openalex.org/W2963190722","https://openalex.org/W2963290405","https://openalex.org/W2963836746","https://openalex.org/W3035974859","https://openalex.org/W3094232284","https://openalex.org/W3127166206","https://openalex.org/W6635388271"],"related_works":["https://openalex.org/W3013979739","https://openalex.org/W2148350085","https://openalex.org/W2655578171","https://openalex.org/W2577913821","https://openalex.org/W4296976839","https://openalex.org/W2460131733","https://openalex.org/W2372946558","https://openalex.org/W3126044086","https://openalex.org/W2531062371","https://openalex.org/W4236952075"],"abstract_inverted_index":{"Most":[0],"of":[1,29,45,51,178],"the":[2,27,43,48,73,91,105,137,152,175,179],"existing":[3],"works":[4],"on":[5],"vehicle-to-everything":[6],"(V2X)":[7],"communications":[8],"assume":[9],"some":[10,144],"deterministic":[11],"or":[12],"stochastic":[13],"channel":[14,66,158],"models,":[15],"which":[16],"is":[17],"unrealistic":[18],"for":[19,64,156],"highly-dynamic":[20],"vehicular":[21,70],"channels":[22],"in":[23,38,68,87,125,151],"urban":[24,39,69,88],"environments":[25],"under":[26],"influence":[28],"high-speed":[30],"vehicle":[31],"motion,":[32],"intermittent":[33],"connectivity,":[34],"and":[35,85,90,96,119,189],"signal":[36],"attenuation":[37,86],"canyon.":[40],"Enabled":[41],"by":[42],"concept":[44],"digital":[46,49,74,153],"twin,":[47],"replica":[50],"a":[52,59,167,184],"real-world":[53],"physical":[54],"system,":[55],"this":[56],"paper":[57],"proposes":[58],"city-model-aware":[60,106],"deep":[61,107],"learning":[62],"algorithm":[63],"dynamic":[65,157],"estimation":[67],"environments.":[71],"Specifically,":[72],"twin":[75,154],"simulation":[76,155],"allows":[77],"us":[78],"to":[79,173,182],"accurately":[80],"model":[81,140,170],"radio":[82],"ray":[83],"reflection":[84],"canyon,":[89],"data":[92],"can":[93],"be":[94,161],"supplemented":[95],"validated":[97],"with":[98,129],"empirical":[99],"measurements.":[100],"Our":[101],"results":[102],"indicates":[103],"that":[104,133],"neural":[108],"network":[109],"(CMA":[110],"DNN)":[111],"estimator":[112],"performs":[113],"much":[114],"better":[115],"than":[116,122],"conventional":[117],"methods":[118],"has":[120],"more":[121],"32%":[123],"improvement":[124],"BER":[126],"when":[127],"compared":[128],"generic":[130],"DNN":[131],"approaches":[132],"do":[134],"not":[135],"take":[136],"3D":[138],"city":[139],"into":[141],"account.":[142],"Since":[143],"geometry-based":[145],"models":[146],"like":[147],"ray-tracing":[148],"techniques":[149],"used":[150],"modeling":[159],"could":[160],"computational":[162],"expensive,":[163],"we":[164],"also":[165],"propose":[166],"basis":[168],"expansion":[169],"(BEM)":[171],"approach":[172],"simplify":[174],"computation":[176],"load":[177],"overall":[180],"methodology":[181],"gain":[183],"good":[185],"balance":[186],"between":[187],"accuracy":[188],"timeliness.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
