{"id":"https://openalex.org/W4393059673","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10464755","title":"AI-Driven Digital Twins for Tasks Offloading in 6G UAV-Aided MEC Networks","display_name":"AI-Driven Digital Twins for Tasks Offloading in 6G UAV-Aided MEC Networks","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393059673","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10464755"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps58843.2023.10464755","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps58843.2023.10464755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","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/A5057143279","display_name":"Benedetta Picano","orcid":"https://orcid.org/0000-0003-4970-1361"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Benedetta Picano","raw_affiliation_strings":["University of Florence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005457508","display_name":"Romano Fantacci","orcid":"https://orcid.org/0000-0001-5934-3321"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Romano Fantacci","raw_affiliation_strings":["University of Florence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":null,"apc_paid":null,"fwci":0.5241,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6779617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"1093","last_page":"1098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9185000061988831,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702264130115509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702264130115509}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/gcwkshps58843.2023.10464755","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps58843.2023.10464755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/1329434","is_oa":false,"landing_page_url":"https://hdl.handle.net/2158/1329434","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973312057","https://openalex.org/W2163772296","https://openalex.org/W2807954746","https://openalex.org/W2912710538","https://openalex.org/W2962691117","https://openalex.org/W2965653290","https://openalex.org/W2975102170","https://openalex.org/W3058760796","https://openalex.org/W3080667742","https://openalex.org/W3101946233","https://openalex.org/W3170397984","https://openalex.org/W4226073470","https://openalex.org/W6743455270","https://openalex.org/W6810252102"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"New":[0],"generation":[1],"networks":[2],"are":[3],"expected":[4],"to":[5,37,41,45,101,107,124,144],"enable":[6],"a":[7,25,61,74,90,116,138],"novel":[8,26],"plethora":[9],"of":[10,30,56,76,85,92,115,166,182,197],"disruptive":[11],"delay-sensitive":[12],"applications":[13],"mainly":[14],"supported":[15],"by":[16,104,157,192],"edge":[17,77,87,95],"computing":[18,96],"capabilities":[19,123],"in":[20,60,195],"different":[21],"domains.":[22],"In":[23,135],"such":[24],"scenario":[27],"the":[28,31,43,46,54,57,83,93,130,149,164,167,180,183,189],"use":[29,55],"digital":[32],"twin":[33],"(DT)":[34],"technology":[35],"appears":[36],"offer":[38],"meaningful":[39],"opportunities":[40],"tailor":[42],"network":[44,97,150,161,207],"service":[47],"needs.":[48],"This":[49],"paper":[50],"aims":[51],"at":[52,128],"proposing":[53],"DT":[58,91,165],"paradigm":[59],"Unmanned":[62],"Aerial":[63],"Vehicle":[64],"(UAV)":[65],"aided":[66],"ground":[67],"Multiaccess":[68],"Edge":[69],"Computing":[70],"(MEC)":[71],"network,":[72],"where":[73],"set":[75],"node":[78],"DTs":[79],"monitor":[80],"and":[81,89,113,155,206],"evaluate":[82],"states":[84],"physical":[86],"nodes":[88],"entire":[94],"provides":[98],"training":[99],"data":[100],"be":[102],"exploited":[103],"machine":[105],"learning":[106],"perform":[108,145],"decisions":[109],"about":[110],"offloading":[111],"strategies,":[112],"assignment":[114],"shared":[117],"UAV":[118],"with":[119],"EC":[120],"on":[121],"board":[122],"congested":[125],"areas,":[126],"aiming":[127],"minimizing":[129],"worst":[131],"completion":[132,198],"tasks":[133],"delay.":[134],"this":[136],"context,":[137],"matching":[139],"game":[140],"has":[141,152,176],"been":[142,153,177],"developed":[143],"these":[146],"decisions,":[147],"while":[148],"congestion":[151,208],"analyzed":[154],"learned":[156],"applying":[158],"an":[159],"echo-state":[160],"fed":[162],"from":[163],"system.":[168],"Finally,":[169],"extensive":[170],"performance":[171],"analysis":[172],"through":[173],"system":[174],"simulations":[175],"conducted,":[178],"confirming":[179],"validity":[181],"framework":[184],"proposed,":[185],"as":[186,188],"long":[187],"benefits":[190],"deriving":[191],"its":[193],"adoption":[194],"terms":[196],"task":[199],"delay,":[200],"prediction":[201],"accuracy,":[202],"mean":[203],"channel":[204],"interference":[205],"reduction.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}