{"id":"https://openalex.org/W4414464237","doi":"https://doi.org/10.1109/bmsb65076.2025.11165669","title":"Multi-Agent Deep RL for Efficient Task Offloading in Vehicle Edge Computing","display_name":"Multi-Agent Deep RL for Efficient Task Offloading in Vehicle Edge Computing","publication_year":2025,"publication_date":"2025-06-11","ids":{"openalex":"https://openalex.org/W4414464237","doi":"https://doi.org/10.1109/bmsb65076.2025.11165669"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb65076.2025.11165669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb65076.2025.11165669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5101685806","display_name":"Bingxin Wang","orcid":"https://orcid.org/0000-0002-3506-507X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxin Wang","raw_affiliation_strings":["Research Institute of China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111259855","display_name":"Dan Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Tu","raw_affiliation_strings":["Research Institute of China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440164","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-1172-1551"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Research Institute of China Telecom,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9825000166893005,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9825000166893005,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9004999995231628,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/edge-computing","display_name":"Edge computing","score":0.621999979019165},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5896000266075134},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5651999711990356},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5550000071525574},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5108000040054321},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.46299999952316284},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.4178999960422516},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.3813000023365021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317000031471252},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.621999979019165},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5896000266075134},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5651999711990356},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5550000071525574},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.46299999952316284},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4178999960422516},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41609999537467957},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.35580000281333923},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30720001459121704},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2904999852180481},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2635999917984009}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb65076.2025.11165669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb65076.2025.11165669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,120],"evolution":[1],"of":[2,10,26,76,148],"Vehicle":[3],"Edge":[4],"Computing":[5],"(VEC)":[6],"within":[7,156],"the":[8,74,81,131,146],"Internet":[9],"Vehicles":[11],"(IoV)":[12],"has":[13],"revolutionized":[14],"vehicular":[15],"technology,":[16],"introducing":[17],"computational":[18],"capabilities":[19],"into":[20,127],"vehicles":[21],"and":[22,43,95,137],"enabling":[23],"a":[24,64,69,102,106],"spectrum":[25],"intelligent":[27],"applications.":[28],"However,":[29],"VEC":[30,90,118,124],"faces":[31],"challenges,":[32],"notably":[33],"in":[34,63,88,117,151,160],"executing":[35],"computationally":[36],"demanding":[37],"tasks,":[38],"leading":[39],"to":[40,47,72,83,144],"increased":[41],"latency":[42,93],"energy":[44,97],"consumption":[45],"due":[46],"limited":[48],"onboard":[49],"computing":[50],"capacities.":[51],"Addressing":[52],"these":[53],"challenges":[54],"demands":[55],"innovative":[56],"solutions.":[57],"Deep":[58],"Reinforcement":[59],"Learning":[60],"(DRL),":[61],"particularly":[62],"multi-agent":[65,108,149],"framework,":[66],"emerges":[67],"as":[68],"promising":[70],"solution":[71],"navigate":[73],"complexities":[75],"VEC.":[77],"Multi-agent":[78],"DRL":[79,109,128,150],"holds":[80],"potential":[82,147],"optimize":[84],"task":[85,115,153],"offloading":[86,116,154],"strategies":[87],"dynamic":[89],"environments,":[91],"mitigating":[92],"issues":[94],"enhancing":[96,152],"efficiency.":[98],"This":[99,140],"paper":[100],"introduces":[101],"novel":[103],"approach,":[104],"presenting":[105],"tailored":[107],"model":[110],"crafted":[111],"explicitly":[112],"for":[113],"efficient":[114],"settings.":[119],"subsequent":[121],"sections":[122],"explore":[123],"literature,":[125],"delve":[126],"methodologies,":[129],"detail":[130],"proposed":[132],"model,":[133],"present":[134],"empirical":[135],"findings,":[136],"offer":[138],"implications.":[139],"comprehensive":[141],"investigation":[142],"aims":[143],"elucidate":[145],"efficiency":[155],"VEC,":[157],"steering":[158],"advancements":[159],"this":[161],"burgeoning":[162],"research":[163],"field.":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}