{"id":"https://openalex.org/W2991180963","doi":"https://doi.org/10.1109/mcom.001.1900124","title":"Machine-Learning-Based Data Processing Techniques for Vehicle-to-Vehicle Channel Modeling","display_name":"Machine-Learning-Based Data Processing Techniques for Vehicle-to-Vehicle Channel Modeling","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2991180963","doi":"https://doi.org/10.1109/mcom.001.1900124","mag":"2991180963"},"language":"en","primary_location":{"id":"doi:10.1109/mcom.001.1900124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.001.1900124","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","raw_type":"journal-article"},"type":"article","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/A5018166221","display_name":"Chen Huang","orcid":"https://orcid.org/0000-0002-3949-2693"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I2800289440","display_name":"Columbia Southern University","ror":"https://ror.org/02r3wcw82","country_code":"US","type":"education","lineage":["https://openalex.org/I2800289440"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Chen Huang","raw_affiliation_strings":["Beijing Jiaotong University","University of Southern California","Beijing Jiaotong University; University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]},{"raw_affiliation_string":"Beijing Jiaotong University; University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800289440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071725365","display_name":"Andreas F. Molisch","orcid":"https://orcid.org/0000-0002-4779-4763"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas F. Molisch","raw_affiliation_strings":["University of Southern California","University  of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]},{"raw_affiliation_string":"University  of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012250827","display_name":"Ruisi He","orcid":"https://orcid.org/0000-0003-4135-3227"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruisi He","raw_affiliation_strings":["Beijing Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431222","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-2974-0972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047139348","display_name":"Pan Tang","orcid":"https://orcid.org/0000-0003-0432-7361"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Tang","raw_affiliation_strings":["Beijing University of Posts and Telecommunication","Beijing University of Posts & Telecommunication"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunication","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts & Telecommunication","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350955","display_name":"Zhangdui Zhong","orcid":"https://orcid.org/0000-0001-8889-7374"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangdui Zhong","raw_affiliation_strings":["Beijing Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5586,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.90155662,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"57","issue":"11","first_page":"109","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9991000294685364,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9991000294685364,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.8572778105735779},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6469670534133911},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5982076525688171},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5902194976806641},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5889724493026733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5237657427787781},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42598575353622437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36597681045532227},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1540728509426117},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0931861400604248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8572778105735779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6469670534133911},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5982076525688171},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5902194976806641},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5889724493026733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5237657427787781},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42598575353622437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36597681045532227},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1540728509426117},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0931861400604248},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcom.001.1900124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.001.1900124","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1980193638","https://openalex.org/W2158249175","https://openalex.org/W2162718622","https://openalex.org/W2314301436","https://openalex.org/W2333715204","https://openalex.org/W2741403911","https://openalex.org/W2748760676","https://openalex.org/W2760586346","https://openalex.org/W2770382025","https://openalex.org/W2783934138","https://openalex.org/W2809356669","https://openalex.org/W2898451729","https://openalex.org/W2906080497","https://openalex.org/W2958201668","https://openalex.org/W3198350258"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"has":[2],"recently":[3],"drawn":[4],"much":[5],"attention":[6],"for":[7,45,82,93,101],"a":[8],"variety":[9],"of":[10,40,47,61,66,89],"applications,":[11],"thanks":[12],"to":[13],"its":[14],"good":[15],"performance":[16],"in":[17],"identification,":[18],"recognition,":[19],"and":[20,38,68],"regression":[21],"problems.":[22],"One":[23],"such":[24],"important":[25],"application":[26],"is":[27],"V2V":[28,48,94],"communication":[29],"propagation":[30],"channel":[31,49,62,84,95],"research.":[32],"In":[33],"this":[34],"article,":[35],"the":[36,80],"challenges":[37,88],"opportunities":[39],"machine-learning-based":[41,90],"data":[42,72,91],"processing":[43,92],"techniques":[44],"evaluation":[46],"measurements":[50],"are":[51,97],"presented.":[52],"This":[53],"article":[54],"reviews":[55],"some":[56,87],"state-of-the-art":[57],"applications":[58],"including":[59],"identification":[60],"line-of-sight":[63],"situations,":[64],"tracking":[65],"MPCs,":[67],"MPC":[69],"clustering.":[70],"The":[71],"obtained":[73],"with":[74],"these":[75],"methods":[76],"form,":[77],"inter":[78],"alia,":[79],"basis":[81,100],"accurate":[83],"models.":[85],"Furthermore,":[86],"research":[96],"discussed":[98],"as":[99],"future":[102],"studies.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
