{"id":"https://openalex.org/W3115093585","doi":"https://doi.org/10.1109/wcsp49889.2020.9299721","title":"Dynamic Coordination in UAV Swarm Assisted MEC via Decentralized Deep Reinforcement Learning","display_name":"Dynamic Coordination in UAV Swarm Assisted MEC via Decentralized Deep Reinforcement Learning","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3115093585","doi":"https://doi.org/10.1109/wcsp49889.2020.9299721","mag":"3115093585"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp49889.2020.9299721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5070709298","display_name":"Yuting Ye","orcid":"https://orcid.org/0000-0003-2643-7457"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuting Ye","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005966601","display_name":"Wenshu Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenshu Wei","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039150296","display_name":"Dongqing Geng","orcid":"https://orcid.org/0009-0007-1400-0502"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongqing Geng","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077587039","display_name":"Xiaofan He","orcid":"https://orcid.org/0000-0002-9254-9062"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan He","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070709298"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":20.4214,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.98767258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1064","last_page":"1069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9925000071525574,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9873999953269958,"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":0.8207430839538574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7878884673118591},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.7583279609680176},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7341530323028564},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.7303242683410645},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6421892642974854},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49651747941970825},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4856163561344147},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.467572957277298},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.4360727071762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29909104108810425},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.21497631072998047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1411181092262268}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8207430839538574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878884673118591},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.7583279609680176},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7341530323028564},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.7303242683410645},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6421892642974854},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49651747941970825},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4856163561344147},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.467572957277298},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.4360727071762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29909104108810425},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.21497631072998047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1411181092262268},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp49889.2020.9299721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1560074431","https://openalex.org/W2145339207","https://openalex.org/W2522123397","https://openalex.org/W2532831361","https://openalex.org/W2559837441","https://openalex.org/W2624989916","https://openalex.org/W2903254326","https://openalex.org/W2903978855","https://openalex.org/W2908537295","https://openalex.org/W2917619375","https://openalex.org/W2937475851","https://openalex.org/W2944519100","https://openalex.org/W2945102934","https://openalex.org/W2956265085","https://openalex.org/W2960647263","https://openalex.org/W2961269959","https://openalex.org/W2962943958","https://openalex.org/W2963061782","https://openalex.org/W2963644017","https://openalex.org/W2968992934","https://openalex.org/W2969952255","https://openalex.org/W2975807524","https://openalex.org/W2995862989","https://openalex.org/W2998472647","https://openalex.org/W3009831317","https://openalex.org/W6633472260","https://openalex.org/W6771358181"],"related_works":["https://openalex.org/W4308079021","https://openalex.org/W1527337688","https://openalex.org/W2399799070","https://openalex.org/W2048054807","https://openalex.org/W2746377055","https://openalex.org/W4386001959","https://openalex.org/W2594296178","https://openalex.org/W3089846858","https://openalex.org/W3012322385","https://openalex.org/W4304182880"],"abstract_inverted_index":{"Driven":[0],"by":[1,173,185],"the":[2,57,60,75,89,115,126,134,147,171,187,190,209],"exploding":[3],"computing":[4,24,123],"service":[5],"demands":[6],"from":[7],"various":[8],"intelligent":[9],"mobile":[10,22],"applications,":[11],"an":[12],"increasing":[13],"amount":[14],"of":[15,59,128,149,175],"research":[16],"efforts":[17],"have":[18,31],"been":[19],"devoted":[20],"to":[21,42,69,74,113,119,132,182],"edge":[23,117,122],"(MEC).":[25],"Meanwhile,":[26],"unmanned":[27],"aerial":[28],"vehicles":[29],"(UAVs)":[30],"found":[32],"a":[33,156,196,204],"great":[34],"success":[35],"in":[36,50,139,165],"assisting":[37],"existing":[38,76,81,130],"wireless":[39],"systems":[40],"due":[41],"their":[43],"flexibility":[44],"and":[45,92,201],"low":[46],"cost.":[47],"The":[48],"advancements":[49],"these":[51],"two":[52],"closely":[53],"related":[54],"fields":[55],"foster":[56],"development":[58],"recently":[61],"advocated":[62],"UAV-assisted":[63,84],"MEC":[64,78,85,104,143],"paradigm,":[65],"which":[66,168],"is":[67,105,163],"expected":[68],"bring":[70],"unprecedented":[71],"performance":[72,207],"gain":[73],"ground-based":[77],"systems.":[79],"Nonetheless,":[80],"works":[82],"on":[83,88],"mainly":[86],"focus":[87],"single-UAV":[90],"scenarios":[91],"often":[93],"assume":[94],"static":[95],"system":[96],"states.":[97],"In":[98,177],"this":[99,154,166],"paper,":[100],"UAV":[101,140,191],"swarm":[102,141,192],"assisted":[103,142],"considered":[106],"where":[107],"multiple":[108],"collaborative":[109],"UAVs":[110,150],"are":[111,180],"employed":[112],"help":[114],"terrestrial":[116],"server":[118],"provide":[120],"better":[121,206],"services.":[124],"However,":[125],"complexity":[127,172],"using":[129,186],"methods":[131],"find":[133],"best":[135],"dynamic":[136,198],"coordination":[137,199],"strategy":[138,200],"becomes":[144],"intractable":[145],"when":[146],"number":[148],"increases.":[151],"To":[152],"resolve":[153],"challenge,":[155],"novel":[157],"decentralized":[158],"deep":[159],"reinforcement":[160],"learning":[161],"algorithm":[162],"proposed":[164,188],"work,":[167],"can":[169,193],"reduce":[170],"orders":[174],"magnitude.":[176],"addition,":[178],"simulations":[179],"conducted":[181],"show":[183],"that":[184],"algorithm,":[189],"efficiently":[194],"learn":[195],"good":[197],"thus":[202],"achieve":[203],"significantly":[205],"than":[208],"baseline":[210],"scheme.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
