{"id":"https://openalex.org/W4317419063","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012705","title":"Fast Spectrum Sharing in Vehicular Networks: A Meta Reinforcement Learning Approach","display_name":"Fast Spectrum Sharing in Vehicular Networks: A Meta Reinforcement Learning Approach","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4317419063","doi":"https://doi.org/10.1109/vtc2022-fall57202.2022.10012705"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-fall57202.2022.10012705","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2022-fall57202.2022.10012705","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063897684","display_name":"Kai Huang","orcid":"https://orcid.org/0000-0002-7948-9800"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025668355","display_name":"Zezhou Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130954","display_name":"China Institute Of Communications","ror":"https://ror.org/0395ve714","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210130954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhou Luo","raw_affiliation_strings":["Guangdong Communications and Networks Institute,Guangzhou,China","Guangdong Communications and Networks Institute, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Communications and Networks Institute,Guangzhou,China","institution_ids":["https://openalex.org/I4210130954"]},{"raw_affiliation_string":"Guangdong Communications and Networks Institute, Guangzhou, China","institution_ids":["https://openalex.org/I4210130954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066151952","display_name":"Le Liang","orcid":"https://orcid.org/0000-0002-8489-1933"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.239,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78460465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9983999729156494,"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":0.9983999729156494,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965000152587891,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9958000183105469,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.9215264320373535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8334213495254517},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5988644361495972},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5764262676239014},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5539155602455139},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5044814348220825},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.47948938608169556},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4450327455997467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43967968225479126},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.43695542216300964},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3589361310005188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3233606815338135},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23428875207901},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08813554048538208}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9215264320373535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8334213495254517},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5988644361495972},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5764262676239014},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5539155602455139},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5044814348220825},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.47948938608169556},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4450327455997467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43967968225479126},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.43695542216300964},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3589361310005188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3233606815338135},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23428875207901},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08813554048538208},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-fall57202.2022.10012705","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2022-fall57202.2022.10012705","pdf_url":null,"source":{"id":"https://openalex.org/S4363607792","display_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2604763608","https://openalex.org/W2607844539","https://openalex.org/W2736601468","https://openalex.org/W2794840605","https://openalex.org/W2799944166","https://openalex.org/W2906647810","https://openalex.org/W2963000651","https://openalex.org/W2968764495","https://openalex.org/W3172394904","https://openalex.org/W4214717370","https://openalex.org/W4225571404","https://openalex.org/W4294646197","https://openalex.org/W6736057607","https://openalex.org/W6741002519","https://openalex.org/W6750254146"],"related_works":["https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903","https://openalex.org/W2138781885","https://openalex.org/W2153007255","https://openalex.org/W2362797233"],"abstract_inverted_index":{"In":[0],"this":[1,103],"paper,":[2],"we":[3],"investigate":[4],"the":[5,21,54,91,112,144,155],"resource":[6],"allocation":[7],"problem":[8,34],"in":[9,73,82],"a":[10,30,43,48,57,66,74,83,119,129,138,151],"dynamic":[11],"vehicular":[12],"environment,":[13],"where":[14],"multiple":[15],"vehicle-to-vehicle":[16],"links":[17],"attempt":[18],"to":[19,38,87,101,115,118,148,150,160],"reuse":[20],"spectrum":[22],"of":[23,51,131],"vehicle-to-infrastructure":[24],"links.":[25],"It":[26],"is":[27,36,62,158],"modeled":[28],"as":[29],"deep":[31],"reinforcement":[32,108],"learning":[33,109,113],"that":[35,110,136],"subject":[37],"proximal":[39],"policy":[40,45,147],"optimization.":[41],"Training":[42],"well-performing":[44],"usually":[46],"requires":[47],"massive":[49],"amount":[50],"interactions":[52,124],"with":[53,122],"environment":[55,76,121,153],"for":[56,143],"long":[58],"time":[59],"and":[60,154,164],"thus":[61],"typically":[63],"performed":[64],"on":[65],"simulator.":[67],"However,":[68],"an":[69],"agent":[70,114],"well":[71],"trained":[72,127,146],"simulated":[75],"may":[77],"still":[78],"fail":[79],"when":[80],"deployed":[81],"live":[84],"network,":[85],"due":[86],"inevitable":[88],"difference":[89],"between":[90],"two":[92],"environments,":[93],"termed":[94],"reality":[95],"gap.":[96],"We":[97,134],"make":[98],"preliminary":[99],"efforts":[100],"address":[102],"issue":[104],"by":[105],"leveraging":[106],"meta":[107,145],"allows":[111],"quickly":[116],"adapt":[117,149],"new":[120,152],"minimal":[123],"after":[125],"being":[126],"across":[128],"variety":[130],"similar":[132],"tasks.":[133],"demonstrate":[135],"only":[137],"few":[139],"episodes":[140],"are":[141],"required":[142],"proposed":[156],"method":[157],"shown":[159],"achieve":[161],"near-optimal":[162],"performance":[163],"exhibit":[165],"rapid":[166],"convergence.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
