{"id":"https://openalex.org/W3009903726","doi":"https://doi.org/10.1109/globecom38437.2019.9013594","title":"Resource Allocation in Vehicular Communications Using Graph and Deep Reinforcement Learning","display_name":"Resource Allocation in Vehicular Communications Using Graph and Deep Reinforcement Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009903726","doi":"https://doi.org/10.1109/globecom38437.2019.9013594","mag":"3009903726"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-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/A5053075653","display_name":"Sohan Gyawali","orcid":"https://orcid.org/0000-0002-4947-478X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sohan Gyawali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073527013","display_name":"Yi Qian","orcid":"https://orcid.org/0000-0001-5671-916X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Qian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057118326","display_name":"Rose Qingyang Hu","orcid":"https://orcid.org/0000-0002-1571-3631"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Qingyang Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053075653"],"corresponding_institution_ids":["https://openalex.org/I114395901"],"apc_list":null,"apc_paid":null,"fwci":1.4476,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.83040425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9962999820709229,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9894999861717224,"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":0.9137842655181885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7719808220863342},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5602883696556091},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5531609058380127},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5498457551002502},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5336148738861084},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5322803258895874},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.5083996653556824},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5018908977508545},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43674522638320923},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3982926309108734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35176825523376465},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.29934197664260864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2629893124103546},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22439023852348328},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16473785042762756}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9137842655181885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7719808220863342},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5602883696556091},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5531609058380127},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5498457551002502},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5336148738861084},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5322803258895874},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.5083996653556824},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5018908977508545},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43674522638320923},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3982926309108734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35176825523376465},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.29934197664260864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2629893124103546},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22439023852348328},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16473785042762756},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2139937502","https://openalex.org/W2140656373","https://openalex.org/W2149016651","https://openalex.org/W2222512263","https://openalex.org/W2327542793","https://openalex.org/W2613120170","https://openalex.org/W2619155606","https://openalex.org/W2756144809","https://openalex.org/W2794840605","https://openalex.org/W2799944166","https://openalex.org/W2883641015","https://openalex.org/W2960424705","https://openalex.org/W2962962622","https://openalex.org/W2963000651"],"related_works":["https://openalex.org/W2050553400","https://openalex.org/W4235212607","https://openalex.org/W4248646537","https://openalex.org/W2132570764","https://openalex.org/W2106711889","https://openalex.org/W4226210192","https://openalex.org/W2540641879","https://openalex.org/W2104779319","https://openalex.org/W2114648181","https://openalex.org/W614001622"],"abstract_inverted_index":{"Cellular":[0],"based":[1],"vehicle-to-everything":[2],"(V2X)":[3],"communications":[4,23,52],"have":[5,133,138],"recently":[6],"gained":[7],"more":[8],"interest":[9],"from":[10],"both":[11],"academia":[12],"and":[13,41,83,86,137,154],"industry.":[14],"However,":[15],"there":[16],"exist":[17],"many":[18],"challenges":[19],"in":[20,24,47,55,149],"cellular-based":[21],"V2X":[22],"which":[25,48],"resource":[26,45],"allocation":[27,77],"is":[28,98,143],"one":[29],"of":[30,151],"the":[31,60,108,113],"main":[32],"challenges.":[33],"In":[34,130],"this":[35],"paper,":[36],"we":[37,132],"propose":[38],"a":[39,56,79],"graph":[40],"deep":[42,68,101],"reinforcement":[43,69,102],"learning-based":[44],"allocations":[46],"channels":[49],"for":[50,71],"vehicular":[51,64],"are":[53],"assigned":[54],"centralized":[57],"manner":[58],"by":[59],"base":[61],"station":[62],"whereas":[63],"user":[65],"equipment":[66],"uses":[67],"learning":[70,103],"distributed":[72],"power":[73,96,110],"control.":[74],"Graph-based":[75],"channel":[76,91,124],"includes":[78],"weighted":[80],"bipartite":[81],"matching":[82],"clustering":[84],"scheme":[85,120,142],"relies":[87,121],"on":[88,122],"strictly":[89],"limited":[90],"state":[92],"information":[93],"(CSI).":[94],"Whereas,":[95],"selection":[97],"performed":[99,135],"using":[100],"where":[104],"each":[105],"agent":[106],"selects":[107],"transmission":[109,128],"to":[111,146],"maximize":[112],"aggregated":[114],"V2V":[115,153],"data":[116],"rate.":[117],"Our":[118],"proposed":[119],"realistic":[123],"assumption":[125],"with":[126],"minimum":[127],"overhead.":[129],"addition,":[131],"also":[134],"simulations":[136],"shown":[139],"that":[140],"our":[141],"better":[144],"compared":[145],"previous":[147],"schemes":[148],"terms":[150],"sum":[152,155],"V2I":[156],"capacity.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}