{"id":"https://openalex.org/W4402811661","doi":"https://doi.org/10.1109/inista62901.2024.10683835","title":"Performance Improvement for UAV-Assisted Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning","display_name":"Performance Improvement for UAV-Assisted Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4402811661","doi":"https://doi.org/10.1109/inista62901.2024.10683835"},"language":"en","primary_location":{"id":"doi:10.1109/inista62901.2024.10683835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista62901.2024.10683835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","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/A5112796018","display_name":"Kohei Suzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohei Suzuki","raw_affiliation_strings":["Waseda University,Dept. of Computer Science and Communications Eng,Tokyo,Japan,1698555"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Dept. of Computer Science and Communications Eng,Tokyo,Japan,1698555","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082205147","display_name":"Toshiharu Sugawara","orcid":"https://orcid.org/0000-0002-9271-4507"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiharu Sugawara","raw_affiliation_strings":["Waseda University,Dept. of Computer Science and Communications Eng,Tokyo,Japan,1698555"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Dept. of Computer Science and Communications Eng,Tokyo,Japan,1698555","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87606457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9380999803543091,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9380999803543091,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9017999768257141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8975620269775391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624408006668091},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5369171500205994},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.49174049496650696},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4876166880130768},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4521964192390442},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41305121779441833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34472042322158813},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22715675830841064},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.0948919951915741}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8975620269775391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624408006668091},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5369171500205994},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.49174049496650696},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4876166880130768},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4521964192390442},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41305121779441833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34472042322158813},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22715675830841064},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0948919951915741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/inista62901.2024.10683835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista62901.2024.10683835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1990291111","https://openalex.org/W2223726101","https://openalex.org/W2587548043","https://openalex.org/W2762059540","https://openalex.org/W2794157223","https://openalex.org/W2952736579","https://openalex.org/W2961269959","https://openalex.org/W2963542767","https://openalex.org/W2966086598","https://openalex.org/W2981262799","https://openalex.org/W2999225051","https://openalex.org/W3010006578","https://openalex.org/W3090573937","https://openalex.org/W3091968794","https://openalex.org/W3132783610","https://openalex.org/W3144494418","https://openalex.org/W3148946438","https://openalex.org/W3158749225","https://openalex.org/W4214866088","https://openalex.org/W4249493285","https://openalex.org/W4391024005","https://openalex.org/W6631190155","https://openalex.org/W6738796088","https://openalex.org/W6748839928"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W2914646191","https://openalex.org/W3174690704","https://openalex.org/W4322761281","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"method":[6],"for":[7],"mobile":[8],"edge":[9],"computing":[10],"(MEC)":[11],"using":[12,116],"unmanned":[13],"aerial":[14],"vehicles":[15],"(UAVs)":[16],"to":[17,48,60,71,86,100,107,139,142],"enhance":[18],"wireless":[19],"connectivity":[20],"in":[21,40,45,65],"areas":[22,85],"afflicted":[23],"by":[24,29],"natural":[25],"disasters":[26],"or":[27],"obstructed":[28],"tall":[30],"buildings.":[31],"Despite":[32],"the":[33,49,104],"active":[34],"research":[35],"on":[36],"deep":[37,96],"reinforcement":[38],"learning":[39],"recent":[41],"years,":[42],"challenges":[43],"persist":[44],"its":[46],"application":[47],"optimization":[50],"of":[51],"cooperative":[52,113,132],"and":[53,63,91,102],"coordinated":[54],"behavior":[55,114],"among":[56],"multi-agents.":[57],"MEC":[58,101,110,128],"aims":[59],"improve":[61,103],"efficiency":[62,129],"fairness":[64],"offloading":[66],"from":[67],"user":[68],"terminals":[69],"(UTs)":[70],"UAVs":[72,140],"while":[73,145],"minimizing":[74],"energy":[75,147],"consumption.":[76],"Therefore,":[77],"UAV":[78],"groups":[79],"must":[80],"operate":[81],"independently":[82],"within":[83],"designated":[84],"facilitate":[87],"connections":[88],"between":[89],"UTs":[90],"servers.":[92],"We":[93],"introduce":[94],"multi-agent":[95],"deterministic":[97],"policy":[98],"gradient":[99],"reward":[105],"design":[106],"achieve":[108],"high-performance":[109],"with":[111],"efficient":[112],"only":[115],"limited":[117],"local":[118],"data.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"that":[123],"our":[124],"approach":[125],"significantly":[126],"enhances":[127],"through":[130],"effective":[131],"behavior.":[133],"Specifically,":[134],"it":[135],"offloads":[136],"more":[137],"tasks/applications":[138],"compared":[141],"baseline":[143],"methods":[144],"reducing":[146],"consumption":[148],"per":[149],"offloading.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}