{"id":"https://openalex.org/W3110391149","doi":"https://doi.org/10.1109/mnet.011.2000440","title":"AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions","display_name":"AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3110391149","doi":"https://doi.org/10.1109/mnet.011.2000440","mag":"3110391149"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.011.2000440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000440","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/A5005311317","display_name":"Feibo Jiang","orcid":"https://orcid.org/0000-0002-0235-0253"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feibo Jiang","raw_affiliation_strings":["Hunan Normal University and Hunan Xiangjiang Artificial Intelligence Academy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Normal University and Hunan Xiangjiang Artificial Intelligence Academy","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022523766","display_name":"Kezhi Wang","orcid":"https://orcid.org/0000-0001-8602-0800"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kezhi Wang","raw_affiliation_strings":["Northumbria University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northumbria University","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079505833","display_name":"Li Dong","orcid":"https://orcid.org/0000-0002-0127-8480"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Dong","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075696071","display_name":"Cunhua Pan","orcid":"https://orcid.org/0000-0001-5286-7958"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cunhua Pan","raw_affiliation_strings":["Queen Mary University of London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013867024","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-9341-8382"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435639","display_name":"Kun Yang","orcid":"https://orcid.org/0000-0002-6782-6689"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Yang","raw_affiliation_strings":["University of Essex and the University of Eletronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Essex and the University of Eletronic Science and Technology of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9641,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98139722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"35","issue":"1","first_page":"400","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9976999759674072,"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":0.9976999759674072,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9860000014305115,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9848999977111816,"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/computer-science","display_name":"Computer science","score":0.6905766129493713},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45144104957580566},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3314844071865082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905766129493713},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45144104957580566},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3314844071865082}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.011.2000440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000440","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2977537647","display_name":null,"funder_award_id":"41604117,6170119","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":18,"referenced_works":["https://openalex.org/W1509691205","https://openalex.org/W1924770834","https://openalex.org/W1995450389","https://openalex.org/W2141426220","https://openalex.org/W2620831508","https://openalex.org/W2624989916","https://openalex.org/W2750023899","https://openalex.org/W2754517384","https://openalex.org/W2886509985","https://openalex.org/W2904505555","https://openalex.org/W2954720522","https://openalex.org/W2955648404","https://openalex.org/W2963120839","https://openalex.org/W2964054168","https://openalex.org/W2990467641","https://openalex.org/W3016765057","https://openalex.org/W6640212811","https://openalex.org/W6744123322"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"By":[0],"taking":[1],"full":[2],"advantage":[3],"of":[4,23,68,186],"Computing,":[5],"Communication":[6],"and":[7,84,109,141,159],"Caching":[8],"(3C)":[9],"resources":[10],"at":[11],"the":[12,24,114,124,156,165,184],"network":[13,139],"edge,":[14],"Mobile":[15],"Edge":[16],"Computing":[17],"(MEC)":[18],"is":[19,63,66],"envisioned":[20],"as":[21,75,77],"one":[22],"key":[25,95],"enablers":[26],"for":[27],"next":[28],"generation":[29],"networks.":[30],"However,":[31],"current":[32],"fixed-lo-cation":[33],"MEC":[34,60],"architecture":[35,62,167],"may":[36],"not":[37],"be":[38],"able":[39],"to":[40,182],"make":[41],"real-time":[42,104],"decision":[43,105],"in":[44,48,55,97],"dynamic":[45],"environments,":[46],"especially":[47],"large-scale":[49],"scenarios.":[50],"To":[51],"address":[52],"this":[53,56],"issue,":[54],"article,":[57],"a":[58],"Heterogeneous":[59],"(H-MEC)":[61],"proposed,":[64],"which":[65],"composed":[67],"fixed":[69],"unit,":[70],"i.e.,":[71,80,99,136],"Ground":[72,81],"Stations":[73],"(GSs)":[74],"well":[76],"moving":[78],"nodes,":[79],"Vehicles":[82,87],"(GVs)":[83],"Unmanned":[85],"Aerial":[86],"(UAVs),":[88],"all":[89],"with":[90,113,131,151,168],"3C":[91],"resource":[92,110],"enabled.":[93],"The":[94,177],"challenges":[96],"H-MEC,":[98],"mobile":[100],"edge":[101],"node":[102],"management,":[103],"making,":[106],"user":[107],"association":[108],"allocation":[111],"along":[112],"possible":[115],"Artificial":[116],"Intelligence":[117],"(AI)-based":[118],"solutions,":[119],"are":[120,147,180],"discussed.":[121],"In":[122],"addition,":[123],"AI-based":[125,134],"joint":[126],"Resource":[127],"schEduling":[128],"(ARE)":[129],"framework":[130],"two":[132],"different":[133],"mechanisms,":[135],"Deep":[137],"neural":[138],"(DNN)-based":[140],"deep":[142],"reinforcement":[143],"learning":[144,154],"(DRL)-based":[145],"architectures,":[146],"proposed.":[148],"DNN-based":[149],"solution":[150],"online":[152,169],"incremental":[153],"applies":[155],"global":[157],"optimizer":[158],"therefore":[160],"has":[161],"better":[162],"performance":[163],"than":[164],"DRL-based":[166],"policy":[170],"updating,":[171],"but":[172],"requires":[173],"longer":[174],"training":[175],"time.":[176],"simulation":[178],"results":[179],"given":[181],"verify":[183],"efficiency":[185],"our":[187],"proposed":[188],"ARE":[189],"framework.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":16},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
