{"id":"https://openalex.org/W2900946192","doi":"https://doi.org/10.1109/wcncw.2019.8902886","title":"Time and Frequency Varying Noise Floor Estimation for Spectrum Usage Measurement","display_name":"Time and Frequency Varying Noise Floor Estimation for Spectrum Usage Measurement","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2900946192","doi":"https://doi.org/10.1109/wcncw.2019.8902886","mag":"2900946192"},"language":"en","primary_location":{"id":"doi:10.1109/wcncw.2019.8902886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw.2019.8902886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","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/A5083223194","display_name":"Hiroki Iwata","orcid":"https://orcid.org/0000-0002-0271-9508"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Iwata","raw_affiliation_strings":["Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076133663","display_name":"Kenta Umebayashi","orcid":"https://orcid.org/0000-0002-4669-7187"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Umebayashi","raw_affiliation_strings":["Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021975473","display_name":"Ahmed Al-Tahmeesschi","orcid":"https://orcid.org/0000-0002-5750-5080"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ahmed Al-Tahmeesschi","raw_affiliation_strings":["Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050222424","display_name":"Miguel L\u00f3pez\u2010Ben\u00edtez","orcid":"https://orcid.org/0000-0003-0526-6687"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel Lopez-Benitez","raw_affiliation_strings":["Dept. of Electrical Engineering and Electronics, University of Liverpool, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Electronics, University of Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055603484","display_name":"Janne Lehtom\u00e4ki","orcid":"https://orcid.org/0000-0002-5081-1843"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Janne J Lehtomaki","raw_affiliation_strings":["Centre for Wireless Communications, University of Oulu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Wireless Communications, University of Oulu","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6825,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82265592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9997000098228455,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.772367537021637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7329654693603516},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.7285359501838684},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.637403130531311},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5901590585708618},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4735395312309265},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42917561531066895},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.41834786534309387},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41279691457748413},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.3913705050945282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35201162099838257},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22155147790908813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2158326506614685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19642740488052368},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.18222233653068542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1689198911190033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1487008035182953},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.07828009128570557}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.772367537021637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329654693603516},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7285359501838684},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.637403130531311},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5901590585708618},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4735395312309265},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42917561531066895},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.41834786534309387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41279691457748413},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3913705050945282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35201162099838257},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22155147790908813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2158326506614685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19642740488052368},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.18222233653068542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1689198911190033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1487008035182953},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.07828009128570557},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wcncw.2019.8902886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw.2019.8902886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","raw_type":"proceedings-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe202002185705","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe202002185705","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1990781704","https://openalex.org/W1993602208","https://openalex.org/W2051755734","https://openalex.org/W2056762649","https://openalex.org/W2087903052","https://openalex.org/W2097670862","https://openalex.org/W2098777482","https://openalex.org/W2101840010","https://openalex.org/W2106822551","https://openalex.org/W2153620960","https://openalex.org/W2172139273","https://openalex.org/W2343899768","https://openalex.org/W2485407786","https://openalex.org/W2541570380","https://openalex.org/W2602217893","https://openalex.org/W2604825071","https://openalex.org/W2907575563"],"related_works":["https://openalex.org/W2561689744","https://openalex.org/W2106421425","https://openalex.org/W2004074100","https://openalex.org/W2029788994","https://openalex.org/W2131708976","https://openalex.org/W2180056344","https://openalex.org/W2269573057","https://openalex.org/W2145562745","https://openalex.org/W4291700823","https://openalex.org/W1995439684"],"abstract_inverted_index":{"We":[0],"investigate":[1],"noise":[2],"floor":[3],"(NF)":[4],"estimation":[5,96,126],"for":[6,59],"FFT-ED":[7],"(Energy":[8],"Detection":[9],"based":[10],"on":[11],"FFT)-based":[12],"spectrum":[13,21,26,86],"usage":[14,27,87],"measurement":[15],"in":[16,24],"the":[17,48,64,76,80,85,103,119,128,134,139,144,152],"context":[18],"of":[19,29,78,105,133],"smart":[20],"access":[22],"(SSA),":[23],"which":[25,98],"information":[28,101],"primary":[30],"users":[31,44],"(PUs),":[32],"such":[33],"as":[34],"channel":[35],"occupancy":[36],"rate":[37],"(COR),":[38],"will":[39],"be":[40,52],"exploited":[41],"by":[42],"secondary":[43],"(SUs).":[45],"In":[46,62,89],"FFT-ED,":[47],"NF":[49,65,81,95,106,125],"has":[50],"to":[51,54,75],"estimated":[53],"set":[55],"a":[56],"decision":[57],"threshold":[58],"ED":[60],"appropriately.":[61],"general,":[63],"is":[66],"frequency-dependent":[67],"and":[68,107,115,130],"its":[69],"level":[70],"changes":[71],"with":[72],"time":[73,129],"leading":[74],"need":[77],"estimating":[79],"regularly":[82],"while":[83],"performing":[84],"measurement.":[88],"this":[90],"paper,":[91],"we":[92,137],"propose":[93],"an":[94,123],"method":[97,121,141,154],"exploits":[99],"prior":[100],"regarding":[102],"shape":[104],"forward":[108],"consecutive":[109],"mean":[110],"excision":[111],"(FCME)":[112],"algorithm.":[113],"Numerical":[114],"experimental":[116],"evaluations":[117],"show":[118,138],"proposed":[120,140],"enables":[122],"accurate":[124],"considering":[127],"frequency":[131],"dependencies":[132],"NF.":[135],"Moreover,":[136],"can":[142,150],"obtain":[143],"almost":[145],"desired":[146],"detection":[147],"performance,":[148],"but":[149],"not":[151],"comparative":[153],"(the":[155],"original":[156],"FCME":[157],"method).":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}