{"id":"https://openalex.org/W4200433338","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625217","title":"Task-oriented Resource Allocation for Mobile Edge Computing with Multi-Agent Reinforcement Learning","display_name":"Task-oriented Resource Allocation for Mobile Edge Computing with Multi-Agent Reinforcement Learning","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W4200433338","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625217"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2021-fall52928.2021.9625217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625217","pdf_url":null,"source":{"id":"https://openalex.org/S4363607774","display_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","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/A5006791117","display_name":"Yue Zou","orcid":"https://orcid.org/0000-0003-0968-1386"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Zou","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Wireless Sensor Network and Communications, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Wireless Sensor Network and Communications, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101429914","display_name":"Fei Shen","orcid":"https://orcid.org/0000-0001-8534-3421"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shen","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Wireless Sensor Network and Communications, Shanghai Institute of Microsystem and Information Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Wireless Sensor Network and Communications, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527302","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0002-8387-1754"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101764605","display_name":"Liang Tang","orcid":"https://orcid.org/0000-0003-4138-1543"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Tang","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Wireless Sensor Network and Communications, Shanghai Institute of Microsystem and Information Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Wireless Sensor Network and Communications, Shanghai Institute of Microsystem and Information Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006791117"],"corresponding_institution_ids":["https://openalex.org/I4210147322","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.54,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80343369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9995999932289124,"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":0.9995999932289124,"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/T13553","display_name":"Age of Information Optimization","score":0.9868000149726868,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8976556062698364},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7571184635162354},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6065714955329895},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6040424704551697},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.5897502899169922},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5881792306900024},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5749253034591675},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5488095283508301},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5371229648590088},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5075186491012573},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46618056297302246},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.465197890996933},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4187783896923065},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.41585856676101685},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3364596366882324},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2932024598121643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13097378611564636},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10598504543304443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8976556062698364},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7571184635162354},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6065714955329895},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6040424704551697},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.5897502899169922},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5881792306900024},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5749253034591675},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5488095283508301},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5371229648590088},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5075186491012573},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46618056297302246},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.465197890996933},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4187783896923065},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.41585856676101685},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3364596366882324},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2932024598121643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13097378611564636},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10598504543304443},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2021-fall52928.2021.9625217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625217","pdf_url":null,"source":{"id":"https://openalex.org/S4363607774","display_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2896918824","https://openalex.org/W2964015972","https://openalex.org/W2999225051","https://openalex.org/W3000558069","https://openalex.org/W3010088649","https://openalex.org/W3010301175","https://openalex.org/W3015366655","https://openalex.org/W3030218575","https://openalex.org/W3045907565","https://openalex.org/W3048486781","https://openalex.org/W3095779321","https://openalex.org/W3105649577","https://openalex.org/W3108122564"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W3014317926","https://openalex.org/W2902693277","https://openalex.org/W4378977105"],"abstract_inverted_index":{"Mobile":[0],"edge":[1,11,38],"computing":[2],"(MEC)":[3],"enables":[4],"terminals":[5,94],"to":[6,10,29,82,161],"migrate":[7],"their":[8],"tasks":[9,34,44,63,187],"servers":[12],"instead":[13],"of":[14,45,86,92,123,157,195],"the":[15,55,65,107,120,124,148,155,158,163,172,193],"central":[16],"cloud":[17],"for":[18,32,61],"efficient":[19],"execution.":[20],"However,":[21],"most":[22],"researches":[23],"on":[24,192],"task":[25,56,71,109,112,198],"offloading":[26,31,57,90,138],"are":[27,48,78],"limited":[28],"binary":[30],"atomic":[33],"with":[35,102,135,146,171,188],"a":[36,83,98,129,167,196],"single":[37],"server,":[39],"while":[40],"in":[41,64,166],"practice,":[42],"serial":[43,62,70],"computation-intensive":[46],"applications":[47],"more":[49],"important.":[50],"Therefore,":[51],"we":[52,127],"jointly":[53],"study":[54],"and":[58,114,143,183],"resource":[59],"allocation":[60],"multi-terminal":[66],"multi-server":[67],"scenario.":[68],"A":[69],"is":[72,95],"divided":[73],"into":[74],"multiple":[75],"sub-tasks":[76],"that":[77],"executed":[79],"sequentially,":[80],"leading":[81],"better":[84,179],"utilization":[85],"fragmented":[87],"resources.":[88],"The":[89],"mechanism":[91],"inter-coupled":[93],"formulated":[96,164],"as":[97],"noncooperative":[99],"stochastic":[100],"game,":[101],"evaluation":[103],"indexes":[104],"defined":[105],"by":[106],"joint":[108],"priority,":[110],"average":[111],"delay":[113],"energy":[115],"consumption.":[116],"Aiming":[117],"at":[118],"minimizing":[119],"long-term":[121],"cost":[122,181],"whole":[125],"system,":[126],"adopt":[128],"multi-agent":[130],"reinforcement":[131],"learning":[132],"(MARL)":[133],"algorithm":[134,160],"dynamically":[136],"adjusted":[137],"strategies,":[139],"subchannels,":[140],"transmit":[141],"power,":[142],"allocated":[144],"resources":[145],"only":[147],"partial":[149],"state":[150],"information.":[151],"Simulation":[152],"results":[153],"demonstrate":[154],"feasibility":[156],"proposed":[159],"solve":[162],"problem":[165],"distributed":[168],"way.":[169],"Compared":[170],"other":[173],"five":[174],"benchmark":[175],"algorithms,":[176],"it":[177],"has":[178],"system":[180],"performance,":[182],"can":[184],"schedule":[185],"delay-sensitive":[186],"higher":[189],"priority":[190],"earlier":[191],"basis":[194],"lower":[197],"failure":[199],"rate.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
