{"id":"https://openalex.org/W4365790252","doi":"https://doi.org/10.1109/tnet.2023.3263538","title":"Deep Reinforcement Learning-Based Online Resource Management for UAV-Assisted Edge Computing With Dual Connectivity","display_name":"Deep Reinforcement Learning-Based Online Resource Management for UAV-Assisted Edge Computing With Dual Connectivity","publication_year":2023,"publication_date":"2023-04-13","ids":{"openalex":"https://openalex.org/W4365790252","doi":"https://doi.org/10.1109/tnet.2023.3263538"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2023.3263538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2023.3263538","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on 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/A5101431638","display_name":"Linh Hoang","orcid":"https://orcid.org/0000-0002-6643-9126"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Linh T. Hoang","raw_affiliation_strings":["Computer Communications Laboratory, The University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Communications Laboratory, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026603079","display_name":"Chuyen T. Nguyen","orcid":"https://orcid.org/0000-0001-7264-1024"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Chuyen T. Nguyen","raw_affiliation_strings":["School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST), Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-7264-1024","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST), Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065550137","display_name":"Anh T. Pham","orcid":"https://orcid.org/0000-0002-5143-1498"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Anh T. Pham","raw_affiliation_strings":["Computer Communications Laboratory, The University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5143-1498","affiliations":[{"raw_affiliation_string":"Computer Communications Laboratory, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":46.5324,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.99858556,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"31","issue":"6","first_page":"2761","last_page":"2776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994000196456909,"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":0.9994000196456909,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9988999962806702,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.8185586929321289},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7616603970527649},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.7556807994842529},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6090342402458191},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.6017530560493469},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5780490636825562},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5109628438949585},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49126309156417847},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.44623711705207825},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43638864159584045},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.435099720954895},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.42035675048828125},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.41351810097694397},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.37727177143096924},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24263474345207214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22089162468910217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12887141108512878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185586929321289},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7616603970527649},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.7556807994842529},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6090342402458191},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.6017530560493469},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5780490636825562},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5109628438949585},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49126309156417847},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.44623711705207825},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43638864159584045},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.435099720954895},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.42035675048828125},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.41351810097694397},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37727177143096924},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24263474345207214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22089162468910217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12887141108512878},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C37935115","wikidata":"https://www.wikidata.org/wiki/Q6707085","display_name":"Lyapunov redesign","level":4,"score":0.0},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2023.3263538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2023.3263538","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324016","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W565099696","https://openalex.org/W1522301498","https://openalex.org/W2082011829","https://openalex.org/W2082639035","https://openalex.org/W2523029658","https://openalex.org/W2593769694","https://openalex.org/W2608659040","https://openalex.org/W2624989916","https://openalex.org/W2756144809","https://openalex.org/W2804985843","https://openalex.org/W2887821509","https://openalex.org/W2896883851","https://openalex.org/W2897066997","https://openalex.org/W2904947504","https://openalex.org/W2907086092","https://openalex.org/W2962691117","https://openalex.org/W2963060851","https://openalex.org/W2964015972","https://openalex.org/W2964098968","https://openalex.org/W3005566700","https://openalex.org/W3005759659","https://openalex.org/W3034606981","https://openalex.org/W3082908978","https://openalex.org/W3095078053","https://openalex.org/W3101855696","https://openalex.org/W3128784013","https://openalex.org/W3131852646","https://openalex.org/W3140719572","https://openalex.org/W3155172585","https://openalex.org/W3168768468","https://openalex.org/W3209283715","https://openalex.org/W3210522537","https://openalex.org/W3211340978","https://openalex.org/W4213429873","https://openalex.org/W4221160470","https://openalex.org/W4225923531","https://openalex.org/W4285047807","https://openalex.org/W4285126844","https://openalex.org/W4301852635","https://openalex.org/W6631190155","https://openalex.org/W6727151142"],"related_works":["https://openalex.org/W4320029583","https://openalex.org/W2944535814","https://openalex.org/W4311866176","https://openalex.org/W4361251304","https://openalex.org/W2897042868","https://openalex.org/W4206585306","https://openalex.org/W2907086092","https://openalex.org/W3089843001","https://openalex.org/W4287646874","https://openalex.org/W3024547383"],"abstract_inverted_index":{"Mobile":[0],"Edge":[1],"Computing":[2],"(MEC)":[3],"is":[4,31,117,164,177,194],"a":[5,22,34,123],"key":[6],"technology":[7],"towards":[8],"delay-sensitive":[9],"and":[10,62,101,120,185,198],"computation-intensive":[11],"applications":[12],"in":[13,156],"future":[14],"cellular":[15,28],"networks.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,139,188],"consider":[21],"multi-user,":[23],"multi-server":[24],"system":[25],"where":[26,171],"the":[27,44,58,63,87,92,105,110,115,133,146,161,191,202,206],"base":[29,60],"station":[30,61],"assisted":[32],"by":[33],"UAV,":[35],"both":[36],"of":[37,91,104,112],"which":[38],"provide":[39],"additional":[40],"MEC":[41,65],"services":[42],"to":[43,57,78,109,144,196],"terrestrial":[45],"users.":[46],"Via":[47,182],"dual":[48],"connectivity":[49],"(DC),":[50],"each":[51,157],"user":[52],"can":[53,199],"simultaneously":[54],"offload":[55],"tasks":[56,74],"macro":[59],"UAV-mounted":[64],"server":[66],"for":[67],"parallel":[68],"computing,":[69],"while":[70],"also":[71],"processing":[72],"some":[73],"locally.":[75],"We":[76],"aim":[77],"propose":[79],"an":[80,167,211],"online":[81],"resource":[82],"management":[83],"framework":[84,193],"that":[85,153,190],"minimizes":[86],"average":[88],"power":[89],"consumption":[90],"whole":[93],"system,":[94],"considering":[95],"long-term":[96],"constraints":[97],"on":[98],"queue":[99],"stability":[100],"computational":[102,137],"delay":[103],"queueing":[106],"system.":[107],"Due":[108],"coexistence":[111],"two":[113],"servers,":[114],"problem":[116,149,163],"highly":[118],"complex":[119],"formulated":[121],"as":[122,205],"multi-stage":[124,148],"mixed":[125],"integer":[126],"non-linear":[127],"programming":[128],"(MINLP)":[129],"problem.":[130],"To":[131],"solve":[132],"MINLP":[134],"with":[135,179],"reduced":[136],"complexity,":[138],"first":[140],"adopt":[141],"Lyapunov":[142],"optimization":[143],"transform":[145],"original":[147],"into":[150],"deterministic":[151],"problems":[152],"are":[154],"manageable":[155],"time":[158],"slot.":[159],"Afterward,":[160],"transformed":[162],"solved":[165],"using":[166],"integrated":[168],"learning-optimization":[169],"approach,":[170],"model-free":[172],"Deep":[173],"Reinforcement":[174],"Learning":[175],"(DRL)":[176],"combined":[178],"model-based":[180],"optimization.":[181],"extensive":[183],"simulation":[184],"theoretical":[186],"analyses,":[187],"show":[189],"proposed":[192],"guaranteed":[195],"converge":[197],"produce":[200],"nearly":[201],"same":[203],"performance":[204],"optimal":[207],"solution":[208],"obtained":[209],"via":[210],"exhaustive":[212],"search.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
