{"id":"https://openalex.org/W4376480737","doi":"https://doi.org/10.1109/wcnc55385.2023.10118839","title":"Energy Consumption and Communication Quality Tradeoff for Logistics UAVs: A Hybrid Deep Reinforcement Learning Approach","display_name":"Energy Consumption and Communication Quality Tradeoff for Logistics UAVs: A Hybrid Deep Reinforcement Learning Approach","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4376480737","doi":"https://doi.org/10.1109/wcnc55385.2023.10118839"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc55385.2023.10118839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc55385.2023.10118839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5102080479","display_name":"Jiangling Cao","orcid":"https://orcid.org/0009-0007-1402-7828"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangling Cao","raw_affiliation_strings":["Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031"],"affiliations":[{"raw_affiliation_string":"Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102016333","display_name":"Lin Xiao","orcid":"https://orcid.org/0000-0001-5608-3106"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Xiao","raw_affiliation_strings":["Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031"],"affiliations":[{"raw_affiliation_string":"Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000883962","display_name":"Dingcheng Yang","orcid":"https://orcid.org/0000-0001-5313-4481"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingcheng Yang","raw_affiliation_strings":["Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031"],"affiliations":[{"raw_affiliation_string":"Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039544535","display_name":"Fahui Wu","orcid":"https://orcid.org/0000-0001-8653-8079"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fahui Wu","raw_affiliation_strings":["Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031"],"affiliations":[{"raw_affiliation_string":"Nanchang University,Department of Electronic Information Engineering,Nanchang,China,330031","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102080479"],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":null,"apc_paid":null,"fwci":5.7353,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95233794,"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":"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":1.0,"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":1.0,"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":0.98580002784729,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7518370151519775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7494829893112183},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7014394998550415},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6564887762069702},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6453626155853271},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.5818159580230713},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5034200549125671},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4866202771663666},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.48049890995025635},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46754828095436096},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46714848279953003},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4444597363471985},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.3065541982650757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23451140522956848},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1401565968990326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1378052830696106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10228604078292847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08639544248580933}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7518370151519775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494829893112183},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7014394998550415},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6564887762069702},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6453626155853271},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.5818159580230713},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5034200549125671},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4866202771663666},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.48049890995025635},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46754828095436096},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46714848279953003},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4444597363471985},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.3065541982650757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23451140522956848},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1401565968990326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1378052830696106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10228604078292847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08639544248580933},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc55385.2023.10118839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc55385.2023.10118839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1650780448","https://openalex.org/W2471190594","https://openalex.org/W2522615148","https://openalex.org/W2565597647","https://openalex.org/W2792557859","https://openalex.org/W2936641013","https://openalex.org/W2963899602","https://openalex.org/W2964023906","https://openalex.org/W2972055356","https://openalex.org/W2994008524","https://openalex.org/W3009836639","https://openalex.org/W3132105662","https://openalex.org/W4214941960","https://openalex.org/W4293499199"],"related_works":["https://openalex.org/W1525389557","https://openalex.org/W2361554335","https://openalex.org/W2359992618","https://openalex.org/W2164188042","https://openalex.org/W4306878646","https://openalex.org/W2054495636","https://openalex.org/W2046552997","https://openalex.org/W2913191894","https://openalex.org/W4389782626","https://openalex.org/W2003479292"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,52,69],"consider":[4],"a":[5,54,71,90],"multi-user":[6],"oriented":[7],"UAV":[8,13,31,64,166],"cargo":[9,61,160],"delivery":[10],"system,":[11],"cellular-connected":[12],"fly":[14],"to":[15,27,33,78,107,144],"all":[16,109],"users":[17],"within":[18],"the":[19,24,49,58,83,96,110,121,125,132,146,173],"distribution":[20,161],"range":[21],"successively":[22],"from":[23],"starting":[25],"point":[26],"deliver":[28],"goods.":[29],"The":[30,169],"needs":[32],"complete":[34],"its":[35],"mission":[36],"quickly":[37],"and":[38,118,153,165],"maintain":[39],"good":[40],"communication":[41,163],"with":[42],"ground":[43],"base":[44,94],"stations":[45],"(GBSs).":[46],"To":[47],"satisfied":[48],"above":[50],"requirements,":[51],"propose":[53,70],"three-step":[55],"approach.":[56],"Firstly,":[57],"influence":[59],"of":[60,92,149,175],"weight":[62,72],"on":[63,95],"energy":[65,151],"consumption":[66,152],"is":[67,87,105,135],"considered,":[68],"change":[73],"travel":[74],"salesman":[75],"problem":[76],"(WCTSP)":[77],"desgin":[79],"initial":[80,98],"trajectory.":[81,99],"Secondly,":[82],"entire":[84],"flight":[85,167],"trajectory":[86,123,178],"divided":[88],"into":[89],"series":[91],"sub-trajectories":[93],"obtained":[97,130],"Finally,":[100],"deep":[101],"reinforcement":[102],"learning":[103],"(DRL)":[104],"adopted":[106],"optimize":[108],"subtrajectives.":[111],"By":[112],"setting":[113],"reasonable":[114],"neural":[115,133],"network":[116,134],"parameters":[117],"reward":[119],"function,":[120],"optimal":[122],"under":[124],"current":[126],"standard":[127],"can":[128],"be":[129],"after":[131],"trained":[136],"continuously":[137],"until":[138],"it":[139],"converges.":[140],"This":[141],"paper":[142],"aims":[143],"minimize":[145],"weighted":[147],"sum":[148],"total":[150,154],"outage":[155],"time":[156],"by":[157],"jointly":[158],"optimizing":[159],"scheduling,":[162],"scheduling":[164],"strategy.":[168],"simulation":[170],"results":[171],"demonstrate":[172],"effectiveness":[174],"our":[176],"proposed":[177],"optimization":[179],"scheme.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
