{"id":"https://openalex.org/W2986726944","doi":"https://doi.org/10.1109/vtcfall.2019.8891562","title":"Learning the Wireless V2I Channels Using Deep Neural Networks","display_name":"Learning the Wireless V2I Channels Using Deep Neural Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2986726944","doi":"https://doi.org/10.1109/vtcfall.2019.8891562","mag":"2986726944"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2019.8891562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101432511","display_name":"Tianhao Li","orcid":"https://orcid.org/0000-0001-7496-9277"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tian-Hao Li","raw_affiliation_strings":["Heriot-Watt University, Edinburgh, UK","School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062228701","display_name":"Muhammad R. A. Khandaker","orcid":"https://orcid.org/0000-0002-3688-5619"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad R. A. Khandaker","raw_affiliation_strings":["Heriot-Watt University, Edinburgh, UK","School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006803067","display_name":"Faisal Tariq","orcid":"https://orcid.org/0000-0002-0580-8805"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Faisal Tariq","raw_affiliation_strings":["James Watt School of Engineering, University of Glasgow, United Kingdom","University of Glasgow, Glasgow, UK"],"affiliations":[{"raw_affiliation_string":"James Watt School of Engineering, University of Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011048761","display_name":"Kai\u2010Kit Wong","orcid":"https://orcid.org/0000-0001-7521-0078"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kai-Kit Wong","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College London, United Kingdom","University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041468687","display_name":"Risala Tasin Khan","orcid":"https://orcid.org/0000-0001-8236-5959"},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Risala T. Khan","raw_affiliation_strings":["Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh","Jahangirnagar University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I46080048"]},{"raw_affiliation_string":"Jahangirnagar University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101432511"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":2.4205,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.8951783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7962554693222046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615244388580322},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6776402592658997},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6626983880996704},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5345284938812256},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.532558798789978},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4417085349559784},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.413014680147171},{"id":"https://openalex.org/keywords/channel-allocation-schemes","display_name":"Channel allocation schemes","score":0.4111136496067047},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4039314389228821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3916492760181427},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37720614671707153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35958701372146606},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27816277742385864}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7962554693222046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615244388580322},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6776402592658997},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6626983880996704},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5345284938812256},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.532558798789978},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4417085349559784},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.413014680147171},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.4111136496067047},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4039314389228821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3916492760181427},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37720614671707153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35958701372146606},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27816277742385864},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2019.8891562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2054692642","https://openalex.org/W2065312435","https://openalex.org/W2523246573","https://openalex.org/W2562947506","https://openalex.org/W2607844539","https://openalex.org/W2796104866","https://openalex.org/W2885033069","https://openalex.org/W2886124254","https://openalex.org/W2962846391","https://openalex.org/W2962883549","https://openalex.org/W2963190722","https://openalex.org/W2963290405","https://openalex.org/W2967528569","https://openalex.org/W2983559761","https://openalex.org/W3059813204","https://openalex.org/W3099769178","https://openalex.org/W4230511593","https://openalex.org/W4242292805","https://openalex.org/W6667059659","https://openalex.org/W6727249380","https://openalex.org/W6759387332","https://openalex.org/W6764962394"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"For":[0],"high":[1],"data":[2],"rate":[3],"wireless":[4,27],"communication":[5],"systems,":[6],"developing":[7],"an":[8],"efficient":[9],"channel":[10,17,42,71,76,91,105,115,124],"estimation":[11],"approach":[12],"is":[13,99,125],"extremely":[14],"vital":[15],"for":[16,78],"detection":[18],"and":[19,31,54,93,107],"signal":[20],"recovery.":[21],"With":[22],"the":[23,94,113,119,130],"trend":[24],"of":[25,62,104],"high-mobility":[26],"communications":[28,35],"between":[29],"vehicles":[30],"vehicles-to-infrastructure":[32],"(V2I),":[33],"V2I":[34,79,90],"pose":[36],"additional":[37],"challenges":[38],"to":[39,74,128],"obtaining":[40],"real-time":[41],"measurements.":[43],"Deep":[44],"learning":[45,52],"(DL)":[46],"techniques,":[47],"in":[48],"this":[49,65],"context,":[50],"offer":[51],"ability":[53],"optimization":[55],"capability":[56],"that":[57],"can":[58,88],"approximate":[59],"many":[60],"kinds":[61],"functions.":[63],"In":[64],"paper,":[66],"we":[67],"develop":[68],"a":[69,102],"DL-based":[70],"prediction":[72],"method":[73],"estimate":[75],"responses":[77,106],"communications.":[80],"We":[81],"have":[82],"demonstrated":[83],"how":[84],"fast":[85],"neural":[86],"networks":[87],"learn":[89],"properties":[92],"changing":[95],"trend.":[96],"The":[97,122],"network":[98],"trained":[100],"with":[101],"series":[103],"known":[108],"pilots,":[109],"which":[110],"then":[111,126],"speculates":[112],"next":[114],"response":[116],"based":[117],"on":[118],"acquired":[120],"knowledge.":[121],"predicted":[123],"used":[127],"evaluate":[129],"system":[131],"performance.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}