{"id":"https://openalex.org/W4417282961","doi":"https://doi.org/10.1109/pimrc62392.2025.11274644","title":"Multi-Agent Deep Reinforcement Learning for Optimized Multi-UAV Coverage and Power-Efficient UE Connectivity","display_name":"Multi-Agent Deep Reinforcement Learning for Optimized Multi-UAV Coverage and Power-Efficient UE Connectivity","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417282961","doi":"https://doi.org/10.1109/pimrc62392.2025.11274644"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11274644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5104277136","display_name":"Xuli Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xuli Cai","raw_affiliation_strings":["University of Ottawa,Ottawa,ON,Canada"],"affiliations":[{"raw_affiliation_string":"University of Ottawa,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002541617","display_name":"Poonam Lohan","orcid":"https://orcid.org/0000-0002-0379-2125"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Poonam Lohan","raw_affiliation_strings":["University of Ottawa,Ottawa,ON,Canada"],"affiliations":[{"raw_affiliation_string":"University of Ottawa,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003131477","display_name":"Burak Kantarc\u0131","orcid":"https://orcid.org/0000-0003-0220-7956"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Burak Kantarci","raw_affiliation_strings":["University of Ottawa,Ottawa,ON,Canada"],"affiliations":[{"raw_affiliation_string":"University of Ottawa,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104277136"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":5.1063,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.96270682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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":0.9753999710083008,"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":0.9753999710083008,"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":0.004100000020116568,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.0026000000070780516,"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/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.5317999720573425},{"id":"https://openalex.org/keywords/user-equipment","display_name":"User equipment","score":0.4999000132083893},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4814999997615814},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4717999994754791},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.46459999680519104},{"id":"https://openalex.org/keywords/battlefield","display_name":"Battlefield","score":0.41530001163482666},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.388700008392334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713699996471405},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.5317999720573425},{"id":"https://openalex.org/C2781327853","wikidata":"https://www.wikidata.org/wiki/Q3552547","display_name":"User equipment","level":3,"score":0.4999000132083893},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4918999969959259},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4814999997615814},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4717999994754791},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.362199991941452},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29499998688697815},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2644999921321869},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11274644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334971","display_name":"Science and Engineering Research Council","ror":"https://ror.org/00zgdb249"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522045078","https://openalex.org/W2031834036","https://openalex.org/W3090573937","https://openalex.org/W3183758503","https://openalex.org/W4280581362","https://openalex.org/W4319866458","https://openalex.org/W4323338401","https://openalex.org/W4379928101","https://openalex.org/W4381748077","https://openalex.org/W4383752869","https://openalex.org/W4391128868","https://openalex.org/W4392729269","https://openalex.org/W4398172744","https://openalex.org/W4399526909","https://openalex.org/W4400276242","https://openalex.org/W4401379713","https://openalex.org/W4403125134","https://openalex.org/W4403420451","https://openalex.org/W4404057534","https://openalex.org/W4405909222"],"related_works":[],"abstract_inverted_index":{"In":[0,35],"critical":[1],"situations":[2],"such":[3],"as":[4],"natural":[5],"disasters,":[6],"network":[7],"outages,":[8],"battlefield":[9],"communication,":[10],"or":[11],"large-scale":[12],"public":[13],"events,":[14],"Unmanned":[15],"Aerial":[16],"Vehicles":[17],"(UAVs)":[18],"offer":[19],"a":[20,40,62,72],"promising":[21],"approach":[22],"to":[23,51,136],"maximize":[24,52],"wireless":[25],"coverage":[26,119,133],"for":[27],"affected":[28],"users":[29],"in":[30],"the":[31,49,53,82,96],"shortest":[32],"possible":[33],"time.":[34],"this":[36],"paper,":[37],"we":[38,94],"propose":[39],"novel":[41],"framework":[42],"where":[43],"multiple":[44],"UAVs":[45,76],"are":[46,68,77],"deployed":[47],"with":[48],"objective":[50],"number":[54],"of":[55],"served":[56],"user":[57],"equipment":[58],"(UEs)":[59],"while":[60],"ensuring":[61],"predefined":[63],"data":[64],"rate":[65],"threshold.":[66],"UEs":[67,118],"initially":[69],"clustered":[70],"using":[71],"K-means":[73],"algorithm,":[74,103],"and":[75,90,107,120,125,139],"optimally":[78],"positioned":[79],"based":[80],"on":[81],"UEs\u2019":[83],"spatial":[84],"distribution.":[85],"To":[86],"optimize":[87],"power":[88,127],"allocation":[89],"mitigate":[91],"inter-cluster":[92],"interference,":[93],"employ":[95],"Multi-Agent":[97],"Deep":[98,122],"Deterministic":[99],"Policy":[100],"Gradient":[101],"(MADDPG)":[102],"considering":[104],"both":[105],"LOS":[106],"NLOS":[108],"fading.":[109],"Simulation":[110],"results":[111],"demonstrate":[112],"that":[113],"our":[114],"method":[115],"significantly":[116],"enhances":[117],"outperforms":[121],"Q-Network":[123],"(DQN)":[124],"equal":[126],"distribution":[128],"methods,":[129],"improving":[130],"their":[131],"UE":[132],"by":[134],"up":[135],"2.07":[137],"times":[138],"8.84":[140],"times,":[141],"respectively.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-12T00:00:00"}