{"id":"https://openalex.org/W7160383645","doi":"https://doi.org/10.1109/ojcoms.2026.3690954","title":"A Probabilistic Model for Vehicle-to-Vehicle Communication With Autonomous Resource Selection","display_name":"A Probabilistic Model for Vehicle-to-Vehicle Communication With Autonomous Resource Selection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160383645","doi":"https://doi.org/10.1109/ojcoms.2026.3690954"},"language":"en","primary_location":{"id":"doi:10.1109/ojcoms.2026.3690954","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2026.3690954","pdf_url":null,"source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcoms.2026.3690954","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039516050","display_name":"Oleg Shmonin","orcid":"https://orcid.org/0000-0002-9562-9332"},"institutions":[{"id":"https://openalex.org/I79563041","display_name":"N. I. Lobachevsky State University of Nizhny Novgorod","ror":"https://ror.org/01bb1zm18","country_code":"RU","type":"education","lineage":["https://openalex.org/I79563041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oleg Shmonin","raw_affiliation_strings":["WiSAVVY Ltd., Nizhny Novgorod, Russia"],"raw_orcid":"https://orcid.org/0000-0002-9562-9332","affiliations":[{"raw_affiliation_string":"WiSAVVY Ltd., Nizhny Novgorod, Russia","institution_ids":["https://openalex.org/I79563041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026308694","display_name":"Vitaliy Kuptsov","orcid":"https://orcid.org/0000-0003-4663-6402"},"institutions":[{"id":"https://openalex.org/I79563041","display_name":"N. I. Lobachevsky State University of Nizhny Novgorod","ror":"https://ror.org/01bb1zm18","country_code":"RU","type":"education","lineage":["https://openalex.org/I79563041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vitaliy Kuptsov","raw_affiliation_strings":["WiSAVVY Ltd., Nizhny Novgorod, Russia"],"raw_orcid":"https://orcid.org/0000-0003-4663-6402","affiliations":[{"raw_affiliation_string":"WiSAVVY Ltd., Nizhny Novgorod, Russia","institution_ids":["https://openalex.org/I79563041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014732353","display_name":"Sergey Trushkov","orcid":"https://orcid.org/0000-0002-5599-7157"},"institutions":[{"id":"https://openalex.org/I79563041","display_name":"N. I. Lobachevsky State University of Nizhny Novgorod","ror":"https://ror.org/01bb1zm18","country_code":"RU","type":"education","lineage":["https://openalex.org/I79563041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Trushkov","raw_affiliation_strings":["WiSAVVY Ltd., Nizhny Novgorod, Russia"],"raw_orcid":"https://orcid.org/0000-0002-5599-7157","affiliations":[{"raw_affiliation_string":"WiSAVVY Ltd., Nizhny Novgorod, Russia","institution_ids":["https://openalex.org/I79563041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043752353","display_name":"Georgij Serebryakov","orcid":"https://orcid.org/0000-0003-3393-7636"},"institutions":[{"id":"https://openalex.org/I79563041","display_name":"N. I. Lobachevsky State University of Nizhny Novgorod","ror":"https://ror.org/01bb1zm18","country_code":"RU","type":"education","lineage":["https://openalex.org/I79563041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Georgij Serebryakov","raw_affiliation_strings":["WiSAVVY Ltd., Nizhny Novgorod, Russia"],"raw_orcid":"https://orcid.org/0000-0003-3393-7636","affiliations":[{"raw_affiliation_string":"WiSAVVY Ltd., Nizhny Novgorod, Russia","institution_ids":["https://openalex.org/I79563041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135447585","display_name":"Lin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Huawei Technologies Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48046732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"5039","last_page":"5057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9226999878883362,"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":0.9226999878883362,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.010700000450015068,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.010200000368058681,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/probabilistic-logic","display_name":"Probabilistic logic","score":0.5436999797821045},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5105999708175659},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.40529999136924744},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.3465999960899353},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.3077999949455261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334999799728394},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5105999708175659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43689998984336853},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28220000863075256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27959999442100525},{"id":"https://openalex.org/C143017306","wikidata":"https://www.wikidata.org/wiki/Q3318133","display_name":"Probabilistic relevance model","level":4,"score":0.27300000190734863},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcoms.2026.3690954","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2026.3690954","pdf_url":null,"source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:89093664cb6646edb285e48e7aa47e7c","is_oa":false,"landing_page_url":"https://doaj.org/article/89093664cb6646edb285e48e7aa47e7c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Communications Society, Vol 7, Pp 5039-5057 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcoms.2026.3690954","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2026.3690954","pdf_url":null,"source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,87],"probabilistic":[4],"analytical":[5,63],"model":[6,41,102,141],"for":[7],"the":[8,32,43,53,58,146],"fifth":[9],"generation":[10],"New":[11,132],"Radio":[12,133],"(5G":[13],"NR)":[14],"Vehicle-to-Vehicle":[15,134],"communication":[16],"under":[17],"autonomous":[18],"resource":[19,77,151],"selection,":[20],"also":[21,85,143],"known":[22],"as":[23],"Sensing-Based":[24,110],"Semi-Persistent":[25,111],"Scheduling.":[26],"The":[27,40,83,101,140],"highway":[28],"scenario":[29],"specified":[30],"by":[31],"third":[33],"partnership":[34],"project":[35],"(3GPP)":[36],"consortium":[37],"is":[38],"studied.":[39],"introduces":[42],"joint":[44],"probability":[45],"distribution":[46],"function":[47],"of":[48,65,90,107,109,131,148],"allocated":[49],"time-frequency":[50,60],"resources":[51],"and":[52,70,76,129],"spacing":[54],"between":[55],"vehicles":[56],"using":[57],"same":[59],"resource,":[61],"enabling":[62],"descriptions":[64],"interference,":[66],"sensing":[67],"zone":[68],"size,":[69],"packet":[71],"reception":[72],"ratio.":[73],"Half-duplex,":[74],"hidden-node,":[75],"reselection":[78],"collisions":[79],"are":[80,119],"explicitly":[81],"characterized.":[82],"analysis":[84],"reveals":[86],"distance-dependent":[88],"behavior":[89],"half-duplex":[91],"collisions,":[92],"which":[93],"has":[94],"not":[95],"been":[96],"reported":[97],"in":[98,136,145],"prior":[99],"studies.":[100],"provides":[103],"an":[104],"upper-bound":[105],"estimate":[106],"performance":[108,127],"Scheduling":[112],"while":[113],"offering":[114],"insights":[115],"into":[116],"aspects":[117],"that":[118],"difficult":[120],"to":[121],"capture":[122],"through":[123],"simulations.":[124],"Applications":[125],"include":[126],"evaluation":[128],"optimization":[130],"systems":[135],"diverse":[137],"deployment":[138],"scenarios.":[139],"may":[142],"assist":[144],"design":[147],"more":[149],"efficient":[150],"allocation":[152],"strategies.":[153]},"counts_by_year":[],"updated_date":"2026-05-20T06:11:20.791850","created_date":"2026-05-07T00:00:00"}