{"id":"https://openalex.org/W7162408728","doi":"https://doi.org/10.1109/tccn.2026.3697300","title":"Diffusion-DDPG: An Edge Intelligence Offloading Algorithm Empowering Agentic AI for Autonomous Decision-Making","display_name":"Diffusion-DDPG: An Edge Intelligence Offloading Algorithm Empowering Agentic AI for Autonomous Decision-Making","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7162408728","doi":"https://doi.org/10.1109/tccn.2026.3697300"},"language":null,"primary_location":{"id":"doi:10.1109/tccn.2026.3697300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3697300","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5137073849","display_name":"Xiaoming Yuan","orcid":"https://orcid.org/0000-0001-8006-364X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Yuan","raw_affiliation_strings":["Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0001-8006-364X","affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057622580","display_name":"S Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyu Wang","raw_affiliation_strings":["Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0009-0008-0408-050X","affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851462","display_name":"Aiwen Wang","orcid":"https://orcid.org/0000-0002-1284-330X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiwen Wang","raw_affiliation_strings":["Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137022291","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-8781-4925"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8781-4925","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417952","display_name":"Qiang Ye","orcid":"https://orcid.org/0000-0001-6311-5970"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qiang Ye","raw_affiliation_strings":["Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8208-6295","affiliations":[{"raw_affiliation_string":"Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045473603","display_name":"Lei Yan","orcid":"https://orcid.org/0000-0003-0965-4636"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yan","raw_affiliation_strings":["Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0965-4636","affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046555671","display_name":"Xi Jin","orcid":"https://orcid.org/0000-0003-2087-0698"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Jin","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":7.0698,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97121208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"8762","last_page":"8775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1598999947309494,"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":0.1598999947309494,"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/T14347","display_name":"Big Data and Digital Economy","score":0.0625,"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"}},{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.04430000111460686,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4650000035762787},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.3337000012397766},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.2671000063419342},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.259799987077713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8306000232696533},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4343999922275543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41100001335144043},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3296000063419342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2939999997615814},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2026.3697300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2026.3697300","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6929886341094971}],"awards":[{"id":"https://openalex.org/G1153030480","display_name":null,"funder_award_id":"62371116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G669882049","display_name":null,"funder_award_id":"(F2026501042)","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W3033750904","https://openalex.org/W3110381504","https://openalex.org/W3199723057","https://openalex.org/W3209940515","https://openalex.org/W3210664956","https://openalex.org/W4205946715","https://openalex.org/W4206667744","https://openalex.org/W4210982773","https://openalex.org/W4213010725","https://openalex.org/W4226117314","https://openalex.org/W4226200846","https://openalex.org/W4297964528","https://openalex.org/W4312354825","https://openalex.org/W4317795032","https://openalex.org/W4319165238","https://openalex.org/W4378716469","https://openalex.org/W4384080510","https://openalex.org/W4387449317","https://openalex.org/W4388081402","https://openalex.org/W4389252700","https://openalex.org/W4390871533","https://openalex.org/W4391468387","https://openalex.org/W4391807589","https://openalex.org/W4396594868","https://openalex.org/W4396817538","https://openalex.org/W4396941482","https://openalex.org/W4399205598","https://openalex.org/W4399767291","https://openalex.org/W4401507915","https://openalex.org/W4402473522","https://openalex.org/W4402727415","https://openalex.org/W4403095468","https://openalex.org/W4405440222","https://openalex.org/W4405934565","https://openalex.org/W4406207611","https://openalex.org/W4406753910","https://openalex.org/W4408071482","https://openalex.org/W4408222774","https://openalex.org/W4410226728","https://openalex.org/W4411599731","https://openalex.org/W7117157556"],"related_works":[],"abstract_inverted_index":{"The":[0,93],"rapid":[1],"growth":[2],"of":[3,168],"Connected":[4],"and":[5,29,47,89,113,118,132,159],"Autonomous":[6],"Vehicles":[7],"(CAVs)":[8],"has":[9],"increased":[10],"the":[11,104,114,120,141,151],"demand":[12],"for":[13],"low-latency,":[14],"high-efficiency":[15],"computation.":[16],"Traditional":[17],"edge":[18],"computing":[19],"offloading":[20,61,69,91],"faces":[21],"challenges":[22,40],"such":[23,65],"as":[24,108,164],"limited":[25],"resources,":[26],"task":[27],"heterogeneity,":[28],"dynamic":[30,48],"wireless":[31],"environments.":[32],"Agentic":[33,54,83,169],"Artificial":[34],"Intelligence":[35],"(Agentic":[36],"AI)":[37],"addresses":[38],"these":[39],"by":[41,139],"enabling":[42],"real-time":[43],"perception,":[44],"adaptive":[45,88],"decision-making,":[46],"resource":[49],"allocation.":[50],"These":[51],"capabilities":[52],"allow":[53],"AI":[55,84,170],"to":[56,86],"autonomously":[57],"make":[58],"effective":[59],"computation":[60,172],"decisions.":[62],"To":[63],"enable":[64],"decisions,":[66],"a":[67,77,109,165],"robust":[68],"algorithm":[70,94,153],"is":[71],"required.":[72],"Therefore,":[73],"this":[74],"paper":[75],"proposes":[76],"novel":[78],"Diffusion-DDPG":[79],"algorithm,":[80],"deployed":[81],"on":[82],"agents,":[85],"generate":[87],"efficient":[90],"strategies.":[92,121],"integrates":[95],"diffusion":[96,105],"models":[97],"with":[98],"Deep":[99],"Reinforcement":[100,134],"Learning":[101,135],"(DRL),":[102],"where":[103],"model":[106],"acts":[107],"generative":[110],"policy":[111],"network":[112],"critic":[115],"module":[116],"evaluates":[117],"refines":[119],"Additionally,":[122],"an":[123],"Exponential":[124],"Moving":[125],"Average":[126],"(EMA)":[127],"mechanism":[128],"stabilizes":[129],"actor":[130],"parameters,":[131],"Inverse":[133],"(IRL)":[136],"enhances":[137],"adaptability":[138],"deriving":[140],"reward":[142],"function":[143],"from":[144],"expert":[145],"data.":[146],"Experimental":[147],"results":[148],"demonstrate":[149],"that":[150],"proposed":[152],"outperforms":[154],"conventional":[155],"baselines":[156],"in":[157,171],"efficiency":[158],"stability,":[160],"showcasing":[161],"its":[162],"potential":[163],"practical":[166],"application":[167],"offloading.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-05-27T00:00:00"}
