{"id":"https://openalex.org/W4400276634","doi":"https://doi.org/10.1109/wcnc57260.2024.10570825","title":"UAV Trajectory Optimization based on Predicted User Locations","display_name":"UAV Trajectory Optimization based on Predicted User Locations","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400276634","doi":"https://doi.org/10.1109/wcnc57260.2024.10570825"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10570825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5100001697","display_name":"Lester Ho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lester Ho","raw_affiliation_strings":["Tyndall National Institute,Wireless Communication Lab,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tyndall National Institute,Wireless Communication Lab,Dublin,Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022279891","display_name":"Sobia Jangsher","orcid":"https://orcid.org/0000-0003-2348-2113"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Sobia Jangsher","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University,Dublin,Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.062,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.947796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"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":0.9995999932289124,"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":0.9995999932289124,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/trajectory","display_name":"Trajectory","score":0.8054131865501404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6708420515060425},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.5987780690193176},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0683918297290802}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8054131865501404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708420515060425},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.5987780690193176},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0683918297290802},{"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/wcnc57260.2024.10570825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2014187500","https://openalex.org/W2133444666","https://openalex.org/W2169528473","https://openalex.org/W2963304955","https://openalex.org/W3010098421","https://openalex.org/W3045557320","https://openalex.org/W3131997087","https://openalex.org/W3162720533","https://openalex.org/W4205833229","https://openalex.org/W4212868746","https://openalex.org/W4225884636","https://openalex.org/W4285202992","https://openalex.org/W4387883750"],"related_works":["https://openalex.org/W4385832323","https://openalex.org/W4244391535","https://openalex.org/W2356996864","https://openalex.org/W2904060783","https://openalex.org/W2015393961","https://openalex.org/W2378339670","https://openalex.org/W2359353485","https://openalex.org/W2139910871","https://openalex.org/W2361427670","https://openalex.org/W2119925415"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicles":[2],"(UAVs)":[3],"can":[4],"extend":[5],"the":[6,17,25,49,59,82,87,91,95,102,105,118,123,131,137,155,159],"coverage":[7,57,165],"of":[8,28,90,104,122,161,183],"wireless":[9],"networks":[10],"due":[11],"to":[12,45,48,55,115,129,136,169,172],"their":[13],"high":[14],"mobility":[15,121],"and":[16,100,175],"favorable":[18],"radio":[19,34],"propagation":[20],"characteristics.":[21],"This":[22],"paper":[23],"studies":[24],"trajectory":[26,67],"optimization":[27,37,72],"UAV":[29,106],"that":[30],"are":[31,53,134],"acting":[32],"as":[33,74,76,94],"relays.":[35],"The":[36,63,110,126,139],"is":[38,113,128,144],"based":[39,107],"on":[40,66,108],"predicted":[41,119],"user":[42,120],"locations":[43],"(UTO-PUL)":[44],"assist":[46],"communication":[47],"ground":[50,132],"users":[51,133,162],"who":[52],"unable":[54],"get":[56],"from":[58],"base":[60],"station":[61],"(BS).":[62],"existing":[64,88],"work":[65],"design":[68],"has":[69],"considered":[70],"several":[71],"approaches":[73],"well":[75],"reinforcement":[77,190],"learning":[78,191],"(RL)":[79],"algorithms.":[80],"All":[81],"algorithm":[83,112,157],"takes":[84],"into":[85],"consideration":[86],"state":[89],"network":[92],"such":[93],"channel":[96],"conditions,":[97],"initial":[98],"positions":[99],"computes":[101],"destination":[103],"it.":[109],"proposed":[111,140,156],"designed":[114],"also":[116],"consider":[117],"future":[124],"instances.":[125],"objective":[127],"ensure":[130],"connected":[135],"BS.":[138],"UTO-PUL":[141],"algorithm's":[142],"performance":[143],"evaluated":[145],"using":[146],"simulations":[147],"in":[148,178],"a":[149,188],"scenario":[150],"with":[151,187],"challenging":[152],"terrain,":[153],"where":[154],"reduced":[158],"probability":[160],"having":[163],"no":[164],"by":[166],"between":[167],"45%":[168],"85%":[170],"compared":[171,186],"non-predictive":[173],"approaches,":[174],"achieved":[176],"gains":[177],"median":[179],"downlink":[180],"signal":[181],"power":[182],"14":[184],"dB":[185],"deep":[189],"(DRL)":[192],"algorithm.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"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"}