{"id":"https://openalex.org/W2985046106","doi":"https://doi.org/10.1109/vtcfall.2019.8891469","title":"Clustering of Signal Power Distribution toward Low Storage Crowdsourced Spectrum Database","display_name":"Clustering of Signal Power Distribution toward Low Storage Crowdsourced Spectrum Database","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985046106","doi":"https://doi.org/10.1109/vtcfall.2019.8891469","mag":"2985046106"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2019.8891469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","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/A5112564232","display_name":"Yoji Uesugi","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoji Uesugi","raw_affiliation_strings":["Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","University of Electro-Communications, Chofu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"University of Electro-Communications, Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102931688","display_name":"Keita Katagiri","orcid":"https://orcid.org/0000-0002-1857-2379"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keita Katagiri","raw_affiliation_strings":["Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","University of Electro-Communications, Chofu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"University of Electro-Communications, Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069290606","display_name":"Koya Sato","orcid":"https://orcid.org/0000-0003-3286-2900"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koya Sato","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042508606","display_name":"Kei Inage","orcid":null},"institutions":[{"id":"https://openalex.org/I52706244","display_name":"College of Industrial Technology","ror":"https://ror.org/054a9s036","country_code":"JP","type":"education","lineage":["https://openalex.org/I52706244"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Inage","raw_affiliation_strings":["Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I52706244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054932044","display_name":"Takeo Fujii","orcid":"https://orcid.org/0000-0002-7886-5560"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Fujii","raw_affiliation_strings":["Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","University of Electro-Communications, Chofu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"University of Electro-Communications, Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.593,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82081335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9998999834060669,"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":0.9998000264167786,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9994999766349792,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8138976097106934},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.7043212056159973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689505934715271},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5818477869033813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5180109143257141},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4935184717178345},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46876260638237},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4304744303226471},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4278530478477478},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4175075888633728},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19117382168769836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15610840916633606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1445145308971405}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8138976097106934},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.7043212056159973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689505934715271},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5818477869033813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5180109143257141},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4935184717178345},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46876260638237},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4304744303226471},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4278530478477478},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4175075888633728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19117382168769836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15610840916633606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1445145308971405},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2019.8891469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1913771409","https://openalex.org/W2009086942","https://openalex.org/W2044221558","https://openalex.org/W2066111587","https://openalex.org/W2073459066","https://openalex.org/W2082550700","https://openalex.org/W2105767494","https://openalex.org/W2110002846","https://openalex.org/W2797986450","https://openalex.org/W3102861360","https://openalex.org/W6666856124","https://openalex.org/W6668990524"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2361274382"],"abstract_inverted_index":{"In":[0,23,77,148],"this":[1,101],"paper,":[2,102],"we":[3,56,150],"propose":[4],"a":[5,29,81],"spectrum":[6,31],"database":[7,32,59,104],"for":[8,16,45],"storing":[9],"received":[10,41,108],"signal":[11,42,109],"power":[12,110,154],"distribution":[13,38,111],"using":[14,158],"clustering":[15,122,138],"reducing":[17],"the":[18,37,40,47,51,58,63,69,84,93,103,107,116,124,134,137,152,159,166,174],"types":[19],"of":[20,39,50,62,71,86,126,136,176],"registered":[21],"distribution.":[22],"order":[24,78],"to":[25,66,79],"estimate":[26],"radio":[27],"environment,":[28],"measurement-based":[30],"(MSD)":[33],"is":[34,43,97],"considered":[35],"and":[36,139],"important":[44],"keeping":[46],"outage":[48,168],"probability":[49,169],"system":[52],"performance.":[53],"However,":[54],"if":[55],"consider":[57],"stores":[60],"all":[61],"distributions":[64,118,143],"corresponding":[65],"each":[67,113],"location,":[68],"amount":[70,85,125,175],"stored":[72,87,127,177],"data":[73,88,128,178],"becomes":[74],"very":[75],"large.":[76],"construct":[80],"practical":[82],"database,":[83],"should":[89],"be":[90,130,145,171,180],"reduced":[91],"while":[92,173],"highly":[94],"estimation":[95],"accuracy":[96,135],"maintained.":[98],"Therefore,":[99],"in":[100,112],"firstly":[105],"estimates":[106],"location.":[114],"Then,":[115],"similar":[117,142],"are":[119],"integrated":[120],"by":[121,157],"so":[123],"can":[129,144,170,179],"reduced.":[131,182],"We":[132],"evaluated":[133],"showed":[140,164],"that":[141,165],"accurately":[146],"clustered.":[147],"addition.":[149],"performed":[151],"transmit":[153],"control":[155],"(TPC)":[156],"clustered":[160],"distributions.":[161],"The":[162],"results":[163],"permissible":[167],"guaranteed":[172],"drastically":[181]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
