{"id":"https://openalex.org/W4408280835","doi":"https://doi.org/10.1109/tits.2025.3546304","title":"Task Offloading Based on the Fusion of Model- and Data-Driven Intelligence for Vehicular Edge Computing Networks","display_name":"Task Offloading Based on the Fusion of Model- and Data-Driven Intelligence for Vehicular Edge Computing Networks","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408280835","doi":"https://doi.org/10.1109/tits.2025.3546304"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3546304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3546304","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","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/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":true,"raw_author_name":"Xiujie Huang","raw_affiliation_strings":["College of Information Science and Technology and Guangdong Institution of Smart Education, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3473-9810","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and Guangdong Institution of Smart Education, Jinan University, Guangzhou, China","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":["College of Information Science and Technology, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062494507","display_name":"Zhiquan Liu","orcid":"https://orcid.org/0000-0002-3934-2177"},"institutions":[{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiquan Liu","raw_affiliation_strings":["Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3934-2177","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangzhou, China","institution_ids":["https://openalex.org/I4210126530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016957247","display_name":"Shancheng Zhao","orcid":"https://orcid.org/0000-0002-0544-8416"},"institutions":[{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shancheng Zhao","raw_affiliation_strings":["Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0544-8416","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangzhou, China","institution_ids":["https://openalex.org/I4210126530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081827896","display_name":"Zhetao Li","orcid":"https://orcid.org/0000-0002-7804-0286"},"institutions":[{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhetao Li","raw_affiliation_strings":["Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7804-0286","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangzhou, China","institution_ids":["https://openalex.org/I4210126530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051261621","display_name":"Renzhang Chen","orcid":"https://orcid.org/0000-0003-0351-8107"},"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":"Renzhang Chen","raw_affiliation_strings":["Modern Educational Technology Center, Jinan University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0003-0351-8107","affiliations":[{"raw_affiliation_string":"Modern Educational Technology Center, Jinan University, Zhuhai, China","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":["College of Information Science and Technology and Guangdong Institution of Smart Education, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6911-3853","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and Guangdong Institution of Smart Education, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034155997"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":26.0791,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.99422556,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"6","first_page":"8525","last_page":"8540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.9186000227928162,"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"}},"topics":[{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.9186000227928162,"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":0.7076411247253418},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.593349277973175},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5901237726211548},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5562999844551086},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4651392996311188},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.45416221022605896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3460894227027893},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14958062767982483},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.10634037852287292},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08712521195411682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076411247253418},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.593349277973175},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5901237726211548},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5562999844551086},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4651392996311188},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.45416221022605896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3460894227027893},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14958062767982483},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.10634037852287292},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08712521195411682}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3546304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3546304","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5367460684","display_name":null,"funder_award_id":"62271233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7356091226","display_name":null,"funder_award_id":"62272195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2023835067","https://openalex.org/W2047322484","https://openalex.org/W2067398275","https://openalex.org/W2126043280","https://openalex.org/W2144554277","https://openalex.org/W2416799949","https://openalex.org/W2594560857","https://openalex.org/W2608659040","https://openalex.org/W2739778833","https://openalex.org/W2747537200","https://openalex.org/W2784111185","https://openalex.org/W2784951742","https://openalex.org/W2786686192","https://openalex.org/W2790986545","https://openalex.org/W2800305275","https://openalex.org/W2804658645","https://openalex.org/W2895973886","https://openalex.org/W2939138533","https://openalex.org/W2950865323","https://openalex.org/W2953926899","https://openalex.org/W2954039338","https://openalex.org/W2968424451","https://openalex.org/W2968764495","https://openalex.org/W2969792793","https://openalex.org/W2976765088","https://openalex.org/W3005620403","https://openalex.org/W3009066041","https://openalex.org/W3010178570","https://openalex.org/W3082335637","https://openalex.org/W3109858579","https://openalex.org/W3131820504","https://openalex.org/W3143519386","https://openalex.org/W3193804826","https://openalex.org/W3198728774","https://openalex.org/W3201958017","https://openalex.org/W3203417629","https://openalex.org/W3210386267","https://openalex.org/W4210982773","https://openalex.org/W4221023924","https://openalex.org/W4311257609","https://openalex.org/W4312648030","https://openalex.org/W4319878926","https://openalex.org/W4362513762","https://openalex.org/W4362683509","https://openalex.org/W4377971363","https://openalex.org/W4381786128","https://openalex.org/W4386737138","https://openalex.org/W4389495243","https://openalex.org/W4390204407","https://openalex.org/W4392309124","https://openalex.org/W4396594868","https://openalex.org/W4399416504","https://openalex.org/W6627932998","https://openalex.org/W6741002519","https://openalex.org/W6840380725"],"related_works":["https://openalex.org/W2521728836","https://openalex.org/W2052899165","https://openalex.org/W4389443772","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2994939960","https://openalex.org/W2914646191","https://openalex.org/W3023564924","https://openalex.org/W2942586735","https://openalex.org/W4400053908"],"abstract_inverted_index":{"Vehicular":[0,88],"edge":[1],"computing":[2,14],"(VEC)":[3],"is":[4,166,223],"an":[5,160],"efficient":[6],"solution":[7,56],"to":[8,48,98,185,210,229,248],"alleviate":[9],"the":[10,20,26,80,108,150,187,226,231,251],"limitations":[11],"of":[12,23,29,43,132,138,262],"local":[13],"resources":[15],"in":[16,60,91,120,260],"vehicular":[17],"networks.":[18,63],"However,":[19],"high":[21],"mobility":[22],"vehicles":[24],"and":[25,45,74,86,95,142,149,158,198,243,267],"dynamic":[27],"variability":[28],"network":[30,82],"topologies":[31],"make":[32,40],"it":[33],"significantly":[34],"challengeable.":[35],"In":[36],"this":[37],"work,":[38],"we":[39,190],"a":[41,50,111,121,174,179,192],"fusion":[42],"model-driven":[44],"data-driven":[46],"intelligence":[47],"design":[49],"multi-agent":[51,193],"deep":[52],"reinforcement":[53],"learning":[54],"(DRL)":[55],"for":[57,67,79,163,234],"task":[58,68,164,197,236,254,264],"offloading":[59,115,126,165,188,255],"urban":[61],"VEC":[62,81],"First,":[64],"computational":[65],"models":[66,148],"queue,":[69],"transmission,":[70],"computation,":[71],"energy":[72,140,156],"consumption,":[73,141,157],"expense":[75],"are":[76,241,246],"meticulously":[77],"developed":[78],"that":[83,153,250],"integrates":[84],"communication":[85],"computation.":[87],"tasks":[89],"vary":[90],"type,":[92],"urgency,":[93],"size,":[94],"timeframe,":[96],"leading":[97],"different":[99,136],"latency":[100],"requirements.":[101],"Tasks":[102],"may":[103],"be":[104,171],"executed":[105],"locally":[106],"within":[107],"vehicle,":[109],"at":[110],"server":[112],"after":[113,124],"V2I":[114],"via":[116,127],"cellular":[117],"communications,":[118],"or":[119],"neighboring":[122],"vehicle":[123],"V2V":[125],"millimeter-wave":[128],"(mmWave)":[129],"communications.":[130],"Each":[131],"these":[133,147],"options":[134],"incurs":[135],"levels":[137],"latency,":[139,155],"expense.":[143],"Second,":[144],"based":[145],"on":[146,225],"utility":[151,268],"function":[152],"combines":[154],"expense,":[159],"optimization":[161],"problem":[162,169],"formulated.":[167],"This":[168,203],"can":[170],"interpreted":[172],"as":[173],"Markov":[175],"decision":[176],"process":[177],"with":[178],"carefully":[180],"designed":[181],"reward":[182],"function.":[183],"Third,":[184],"address":[186],"problem,":[189],"propose":[191],"proximal":[194],"policy":[195],"optimization-based":[196],"target":[199],"selection":[200],"algorithm":[201,204],"(MAPPO-TTSA).":[202],"also":[205],"utilizes":[206],"convolutional":[207],"neural":[208],"networks":[209],"extract":[211],"features":[212],"from":[213],"large-scale":[214],"states,":[215],"thereby":[216],"enhancing":[217],"their":[218],"correlation.":[219],"Fourth,":[220],"comprehensive":[221],"training":[222],"performed":[224],"observational":[227],"data":[228],"determine":[230],"optimal":[232],"parameters":[233],"predicting":[235],"offloading.":[237],"Finally,":[238],"extensive":[239],"experiments":[240],"conducted,":[242],"simulation":[244],"results":[245],"provided":[247],"demonstrate":[249],"proposed":[252],"intelligent":[253],"scheme":[256],"offers":[257],"significant":[258],"advantages":[259],"terms":[261],"average":[263],"completion":[265],"delay":[266],"level":[269],"across":[270],"various":[271],"scenarios.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
