{"id":"https://openalex.org/W4407168874","doi":"https://doi.org/10.1109/lwc.2025.3539638","title":"Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving","display_name":"Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407168874","doi":"https://doi.org/10.1109/lwc.2025.3539638"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2025.3539638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3539638","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","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/A5088546712","display_name":"Zijiang Yan","orcid":"https://orcid.org/0000-0002-7959-8329"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zijiang Yan","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7959-8329","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080850676","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0002-5511-4609"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["Department of Computer Science, McGill University, Montréal, QC, Canada","Department of Computer Science, McGill University, Montrèal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5511-4609","affiliations":[{"raw_affiliation_string":"Department of Computer Science, McGill University, Montréal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Computer Science, McGill University, Montrèal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115657165","display_name":"Hina Tabassum","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hina Tabassum","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7379-6949","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372152","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0001-5252-3442"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","Department of Computer Science, McGill University, Montrèal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5252-3442","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Computer Science, McGill University, Montrèal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2816,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93901047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"1214","last_page":"1218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9742000102996826,"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":0.9742000102996826,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9253000020980835,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9236000180244446,"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":0.6256440877914429},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6034102439880371},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32823753356933594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15189039707183838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6256440877914429},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6034102439880371},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32823753356933594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15189039707183838},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2025.3539638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3539638","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W4205676769","https://openalex.org/W4315630313","https://openalex.org/W4394862732","https://openalex.org/W4402742293","https://openalex.org/W4405717855","https://openalex.org/W6857112689","https://openalex.org/W6866392891"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"received":[5,68],"considerable":[6],"interest":[7],"recently":[8],"due":[9],"to":[10,22,26,43,65,85],"their":[11],"outstanding":[12],"reasoning":[13],"and":[14,32,47,53,71,91,99,117,129,149,163,183],"comprehension":[15],"capabilities.":[16],"This":[17],"letter":[18],"explores":[19],"applying":[20],"LLMs":[21,39,93,148,159],"vehicular":[23],"networks,":[24],"aiming":[25],"jointly":[27],"optimize":[28,120],"vehicle-to-infrastructure":[29],"(V2I)":[30],"communications":[31],"autonomous":[33],"driving":[34],"(AD)":[35],"policies.":[36],"We":[37],"deploy":[38],"for":[40,50,62,77,102,160],"AD":[41,89,107,128],"decision-making":[42],"maximize":[44,66],"traffic":[45],"flow":[46],"avoid":[48],"collisions":[49],"road":[51],"safety,":[52],"a":[54],"double":[55],"deep":[56],"Q-learning":[57],"algorithm":[58],"(DDQN)":[59],"is":[60],"used":[61],"V2I":[63,115,122,130],"optimization":[64,140,162],"the":[67,82,121,127,145,155,166,176],"data":[69],"rate":[70],"reduce":[72],"frequent":[73],"handovers.":[74],"In":[75],"particular,":[76],"LLM-enabled":[78],"AD,":[79],"we":[80],"employ":[81],"Euclidean":[83],"distance":[84],"identify":[86],"previously":[87],"explored":[88],"experiences,":[90],"then":[92],"can":[94,142],"learn":[95],"from":[96],"past":[97],"good":[98],"bad":[100],"decisions":[101,108,123,131],"further":[103],"improvement.":[104],"Then,":[105],"LLM-based":[106],"will":[109,119],"become":[110],"part":[111],"of":[112,157],"states":[113],"in":[114],"problems,":[116],"DDQN":[118,178],"accordingly.":[124],"After":[125],"that,":[126],"are":[132],"iteratively":[133],"optimized":[134],"until":[135],"convergence.":[136],"Such":[137],"an":[138],"iterative":[139],"approach":[141,174],"better":[143],"explore":[144],"interactions":[146],"between":[147],"conventional":[150,177],"reinforcement":[151],"learning":[152],"techniques,":[153],"revealing":[154],"potential":[156],"using":[158],"network":[161],"management.":[164],"Finally,":[165],"simulations":[167],"demonstrate":[168],"that":[169],"our":[170],"proposed":[171],"hybrid":[172],"LLM-DDQN":[173],"outperforms":[175],"algorithm,":[179],"showing":[180],"faster":[181],"convergence":[182],"higher":[184],"average":[185],"rewards.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}