{"id":"https://openalex.org/W3217175417","doi":"https://doi.org/10.1109/icce-tw52618.2021.9603087","title":"Mobile User Density Estimation Based on Graph Laplacian Regularized Recursive Least Squares","display_name":"Mobile User Density Estimation Based on Graph Laplacian Regularized Recursive Least Squares","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3217175417","doi":"https://doi.org/10.1109/icce-tw52618.2021.9603087","mag":"3217175417"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw52618.2021.9603087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9603087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054541492","display_name":"Kaisei Neichi","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaisei Neichi","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064725326","display_name":"Takahiro Matsuda","orcid":"https://orcid.org/0000-0002-9728-9968"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Matsuda","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.8322,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77998837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.998199999332428,"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":0.998199999332428,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.998199999332428,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9955000281333923,"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":0.6807770729064941},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5667586326599121},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5505806803703308},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5498952865600586},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5321416258811951},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45912444591522217},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.45143020153045654},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4126424789428711},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3850889503955841},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33264949917793274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2544548809528351},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2284831702709198},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16797956824302673},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1518254280090332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807770729064941},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5667586326599121},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5505806803703308},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5498952865600586},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5321416258811951},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45912444591522217},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.45143020153045654},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4126424789428711},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3850889503955841},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33264949917793274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2544548809528351},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2284831702709198},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16797956824302673},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1518254280090332},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw52618.2021.9603087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9603087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2101491865","https://openalex.org/W2166106181","https://openalex.org/W2899320340","https://openalex.org/W3120222824"],"related_works":["https://openalex.org/W4242740646","https://openalex.org/W4254402015","https://openalex.org/W1525886636","https://openalex.org/W1602531054","https://openalex.org/W4239999152","https://openalex.org/W2973191244","https://openalex.org/W2145213470","https://openalex.org/W2038428770","https://openalex.org/W1972943862","https://openalex.org/W2951738848"],"abstract_inverted_index":{"In":[0,30,53,75],"mobile":[1],"networks":[2],"using":[3,45],"Unmanned":[4],"Aerial":[5],"Vehicle":[6],"(UAV)":[7],"Base":[8],"Stations":[9],"(UAV-BSs),":[10],"it":[11],"is":[12,65,99],"necessary":[13],"to":[14,19,25,87],"dynamically":[15],"deploy":[16],"UAV-BSs":[17],"according":[18,86],"the":[20,41,54,58,61,76,84,88,92,109],"user":[21,37,42,62,69,102],"density":[22,43,63],"in":[23,83,91],"order":[24],"achieve":[26],"effective":[27],"traffic":[28],"offlading.":[29],"this":[31],"paper,":[32],"we":[33],"propose":[34],"a":[35,96],"two-step":[36],"estimation":[38],"scheme":[39,111],"for":[40],"distribution":[44,64,90,98],"Graph":[46],"Laplacian":[47],"Regularized":[48],"Recursive":[49],"Least":[50],"Squares":[51],"(RLS).":[52],"first":[55,93],"step":[56],"of":[57],"proposed":[59,110],"scheme,":[60],"roughly":[66],"estimated":[67,89],"with":[68,101,112],"densities":[70,103],"measured":[71,104],"at":[72],"fixed":[73],"BSs.":[74],"second":[77],"step,":[78,94],"measurement":[79],"UAVs":[80],"are":[81],"deployed":[82],"area":[85],"and":[95],"finer":[97],"obtained":[100],"by":[105],"UAVs.":[106],"We":[107],"validate":[108],"simulation":[113],"experiments.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}