{"id":"https://openalex.org/W4400276424","doi":"https://doi.org/10.1109/wcnc57260.2024.10571091","title":"Joint Optimization of Spectrum and Power for Vehicular Networks: A MAPPO based Deep Reinforcement Learning Approach","display_name":"Joint Optimization of Spectrum and Power for Vehicular Networks: A MAPPO based Deep Reinforcement Learning Approach","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400276424","doi":"https://doi.org/10.1109/wcnc57260.2024.10571091"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10571091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10571091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5101391827","display_name":"Weiteng Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiteng Cai","raw_affiliation_strings":["The College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034155997","display_name":"Xiujie Huang","orcid":"https://orcid.org/0000-0002-3473-9810"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujie Huang","raw_affiliation_strings":["The College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321260","display_name":"Yuhao Chen","orcid":"https://orcid.org/0000-0001-6094-0545"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Chen","raw_affiliation_strings":["The College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084935157","display_name":"Quanlong Guan","orcid":"https://orcid.org/0000-0001-6911-3853"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanlong Guan","raw_affiliation_strings":["The College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":2.7835,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89488338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9987999796867371,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9987999796867371,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9957000017166138,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8800826072692871},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6923986673355103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822477579116821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5028654932975769},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44087615609169006},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.42394518852233887},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1759316623210907},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.06275242567062378}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8800826072692871},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6923986673355103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822477579116821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5028654932975769},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44087615609169006},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.42394518852233887},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1759316623210907},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.06275242567062378},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10571091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10571091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-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/W2478824889","https://openalex.org/W2509527900","https://openalex.org/W2609289242","https://openalex.org/W2736601468","https://openalex.org/W2765135909","https://openalex.org/W2835516109","https://openalex.org/W2899478246","https://openalex.org/W2963000651","https://openalex.org/W2968764495","https://openalex.org/W3013654797","https://openalex.org/W3189888967","https://openalex.org/W4298625016","https://openalex.org/W4319303197","https://openalex.org/W6627932998","https://openalex.org/W6840380725"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,77,102],"the":[4,47,60,65,103,122,132,156,163,173],"issue":[5],"of":[6,63,165,175,194],"resource":[7],"allocation":[8,99,137],"in":[9,13,115],"vehicular":[10],"networking,":[11],"specifically":[12],"scenarios":[14,118],"where":[15],"vehicle-to-vehicle":[16],"(V2V)":[17],"links":[18,23,39,49,85,196],"coexist":[19],"with":[20,86,155],"vehicle-to-infrastructure":[21],"(V2I)":[22],"that":[24,185],"utilize":[25],"pre-allocated":[26],"spectrum":[27,96],"resources":[28],"for":[29,80,125,141,160,205],"communication.":[30],"Different":[31],"link":[32],"has":[33,111],"different":[34,143],"quality-of-service":[35],"(QoS).":[36],"The":[37],"V2I":[38,82,195],"commonly":[40],"provide":[41],"high":[42,61,192,203],"data":[43],"rate":[44],"service,":[45],"while":[46,197],"V2V":[48,84,206],"usually":[50],"offer":[51],"reliable":[52],"safety":[53],"message":[54],"exchange":[55],"service.":[56],"However,":[57],"due":[58],"to":[59,171,183],"mobility":[62],"vehicles,":[64],"communication":[66],"network":[67],"topology":[68],"is":[69,169],"constantly":[70],"changing,":[71],"which":[72,110],"imposes":[73],"a":[74,94,191],"significant":[75],"challenge":[76],"ensuring":[78],"QoS":[79],"both":[81],"and":[83,97,119,134,149,202],"minimal":[87],"overhead.":[88],"To":[89,153],"address":[90],"this,":[91],"we":[92],"propose":[93],"joint":[95],"power":[98,147],"scheme":[100],"based":[101,136],"Multi-Agent":[104],"Proximal":[105],"Policy":[106],"Optimization":[107],"(MAPPO)":[108],"algorithm,":[109],"demonstrated":[112],"excellent":[113],"performance":[114],"multi-intelligent":[116],"cooperation":[117],"can":[120,188],"facilitate":[121],"learning":[123],"process":[124],"agents":[126],"without":[127],"requiring":[128],"global":[129],"information.":[130],"Furthermore,":[131],"D-MAPPO":[133],"C-MAPPO":[135],"schemes":[138,187],"are":[139,181],"presented":[140],"two":[142],"cases,":[144],"discrete":[145],"finite":[146],"choices":[148],"continuous":[150],"power,":[151],"respectively.":[152],"deal":[154],"non-stationarity":[157],"during":[158],"training":[159],"multi-agent":[161],"cooperation,":[162],"method":[164],"general":[166],"advantage":[167],"estimation":[168],"utilized":[170],"enhance":[172],"robustness":[174],"proposed":[176],"algorithms.":[177],"Finally,":[178],"simulation":[179],"results":[180],"given":[182],"indicate":[184],"our":[186],"effectively":[189],"ensure":[190],"capacity":[193],"guaranteeing":[198],"stringent":[199],"low":[200],"latency":[201],"reliability":[204],"links.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}