{"id":"https://openalex.org/W4291803696","doi":"https://doi.org/10.1109/isncc55209.2022.9851725","title":"UAV Trajectory Optimization Considering User Pattern and Communication Coverage Fairness","display_name":"UAV Trajectory Optimization Considering User Pattern and Communication Coverage Fairness","publication_year":2022,"publication_date":"2022-07-19","ids":{"openalex":"https://openalex.org/W4291803696","doi":"https://doi.org/10.1109/isncc55209.2022.9851725"},"language":"en","primary_location":{"id":"doi:10.1109/isncc55209.2022.9851725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc55209.2022.9851725","pdf_url":null,"source":{"id":"https://openalex.org/S4363606822","display_name":"2022 International Symposium on Networks, Computers and Communications (ISNCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5030687054","display_name":"Jianfang Zhang","orcid":"https://orcid.org/0000-0002-3870-4906"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfang Zhang","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, School of Computer & Communication Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, School of Computer & Communication Engineering,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101817698","display_name":"Yaxi Liu","orcid":"https://orcid.org/0000-0001-5012-8502"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxi Liu","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, School of Computer & Communication Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, School of Computer & Communication Engineering,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010340533","display_name":"Wei Huangfu","orcid":"https://orcid.org/0000-0003-2887-8395"},"institutions":[{"id":"https://openalex.org/I4210120302","display_name":"Shunde Polytechnic","ror":"https://ror.org/01w9d4603","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210120302"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huangfu","raw_affiliation_strings":["Shunde Graduate School of University Of Science and Technology Beijing,Guangdong,China","Shunde Graduate School of University Of Science and Technology Beijing, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shunde Graduate School of University Of Science and Technology Beijing,Guangdong,China","institution_ids":["https://openalex.org/I4210120302"]},{"raw_affiliation_string":"Shunde Graduate School of University Of Science and Technology Beijing, Guangdong, China","institution_ids":["https://openalex.org/I4210120302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6543,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64128223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9904000163078308,"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":0.9836000204086304,"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":0.8136575222015381},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7251707315444946},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5982117652893066},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5978424549102783},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5471651554107666},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5051615834236145},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.49891161918640137},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.44657132029533386},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4247044026851654},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4206932485103607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23421671986579895},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1570407748222351},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08968052268028259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136575222015381},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7251707315444946},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5982117652893066},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5978424549102783},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5471651554107666},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5051615834236145},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.49891161918640137},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.44657132029533386},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4247044026851654},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4206932485103607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23421671986579895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1570407748222351},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08968052268028259},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/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/isncc55209.2022.9851725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc55209.2022.9851725","pdf_url":null,"source":{"id":"https://openalex.org/S4363606822","display_name":"2022 International Symposium on Networks, Computers and Communications (ISNCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2888322672","https://openalex.org/W2889655092","https://openalex.org/W2964023906","https://openalex.org/W2976726673","https://openalex.org/W2979919007","https://openalex.org/W2982511982","https://openalex.org/W3001321893","https://openalex.org/W3010715985","https://openalex.org/W3023102341","https://openalex.org/W3108579079","https://openalex.org/W3111740206","https://openalex.org/W3112401550","https://openalex.org/W3175421789","https://openalex.org/W3175526935"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Optimizing":[0],"the":[1,18,31,64,71,83,100,114,119,126,129,137],"trajectory":[2,93],"of":[3,20,73,118,128,136],"Unmanned":[4],"Aerial":[5],"Vehicle":[6],"(UAV)":[7],"Base":[8],"Station":[9],"(BS)":[10],"is":[11,96,132],"an":[12],"important":[13],"operational":[14],"task":[15],"to":[16,50,98,112],"improve":[17],"Quality":[19],"Service":[21],"(QoS)":[22],"for":[23],"remote":[24],"areas.":[25],"However,":[26],"existing":[27,139],"works":[28],"mainly":[29],"neglect":[30],"fair":[32,75],"coverage":[33,46,76],"and":[34,77,88,116],"dynamic":[35,53],"Ground":[36],"Users":[37],"(GUs).":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,62],"propose":[43],"a":[44,67],"novel":[45],"fairness":[47],"index":[48],"(CFI)":[49],"measure":[51],"whether":[52],"GUs":[54],"are":[55,110],"served":[56],"as":[57,59,66],"fairly":[58],"possible.":[60],"Then,":[61],"formulate":[63],"problem":[65,69,103],"constrained":[68,102],"with":[70],"objective":[72],"maximizing":[74],"minimizing":[78],"energy":[79],"consumption":[80],"while":[81],"satisfying":[82],"bound":[84],"constraints.":[85],"An":[86],"accurate":[87],"efficient":[89],"Soft-Actor-Critic":[90],"(SAC)-based":[91],"UAV":[92],"optimization":[94],"algorithm":[95,131],"proposed":[97,120,130],"solve":[99],"complex":[101],"based":[104],"on":[105],"deep":[106],"reinforcement":[107],"learning.":[108],"Experiments":[109],"executed":[111],"prove":[113],"feasibility":[115],"efficiency":[117],"algorithm.":[121],"The":[122],"results":[123],"manifest":[124],"that":[125,135],"performance":[127],"better":[133],"than":[134],"two":[138],"baseline":[140],"methods.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}