{"id":"https://openalex.org/W2585165911","doi":"https://doi.org/10.1109/glocom.2016.7842360","title":"Universal Quickest Spectrum Sensing","display_name":"Universal Quickest Spectrum Sensing","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2585165911","doi":"https://doi.org/10.1109/glocom.2016.7842360","mag":"2585165911"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7842360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","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/A5100398578","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0002-8944-9220"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101763885","display_name":"Husheng Li","orcid":"https://orcid.org/0000-0001-8113-6062"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Husheng Li","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100398578"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":0.2721,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71593238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9757000207901001,"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/cognitive-radio","display_name":"Cognitive radio","score":0.7614482641220093},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7319741249084473},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.6866199970245361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281158328056335},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6195470094680786},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5438060164451599},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.47260621190071106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4685949385166168},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.42307204008102417},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3788374066352844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3040461242198944},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.288343608379364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25856709480285645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21280434727668762},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16543346643447876},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11629578471183777}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7614482641220093},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7319741249084473},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.6866199970245361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281158328056335},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6195470094680786},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5438060164451599},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.47260621190071106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4685949385166168},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.42307204008102417},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3788374066352844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3040461242198944},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.288343608379364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25856709480285645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21280434727668762},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16543346643447876},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11629578471183777},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2016.7842360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W129077257","https://openalex.org/W638544165","https://openalex.org/W1981904416","https://openalex.org/W2018319586","https://openalex.org/W2038514455","https://openalex.org/W2051903196","https://openalex.org/W2062291443","https://openalex.org/W2105563843","https://openalex.org/W2112072995","https://openalex.org/W2119347354","https://openalex.org/W2136915286","https://openalex.org/W2155010204","https://openalex.org/W2155558253","https://openalex.org/W6675777979"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W2775301649","https://openalex.org/W2048427509","https://openalex.org/W4233632157","https://openalex.org/W2330895226","https://openalex.org/W2994439156","https://openalex.org/W2587869769","https://openalex.org/W2099754143","https://openalex.org/W1567310268"],"abstract_inverted_index":{"In":[0,68],"modern":[1],"cognitive":[2],"ratio":[3,82],"systems,":[4],"the":[5,45,48,58,89,95,102,109],"spectrum":[6,14,23,49,85,93,121],"is":[7,112],"becoming":[8],"increasingly":[9],"crowded":[10],"and":[11],"expensive;":[12],"thus":[13,116],"sensing":[15,24,50,86],"becomes":[16],"more":[17],"important":[18],"than":[19],"ever":[20],"before.":[21],"Traditional":[22],"assumes":[25],"Gaussian":[26],"noise":[27],"(or":[28],"of":[29,92,97],"other":[30],"given":[31,53],"distributions)":[32],"in":[33],"general.":[34],"However":[35],"when":[36],"secondary":[37],"users":[38],"(SUs)":[39],"have":[40],"no":[41,65],"prior":[42],"information":[43],"about":[44],"measurement":[46],"distributions,":[47],"schemes":[51],"assuming":[52],"distribution":[54,107,110],"forms":[55],"(even":[56,108],"if":[57],"parameters":[59],"are":[60],"assumed":[61],"to":[62,114,119],"be":[63],"unknown)":[64],"longer":[66],"apply.":[67],"this":[69],"paper":[70],"we":[71],"propose":[72],"a":[73],"universal":[74],"quickest":[75],"change":[76,91,104],"detection":[77],"scheme":[78],"based":[79],"on":[80],"density":[81],"estimation":[83],"for":[84],"by":[87],"detecting":[88],"sudden":[90],"(e.g.,":[94],"emergence":[96],"primary":[98],"user),":[99],"where":[100],"neither":[101],"pre-":[103],"nor":[105],"post-change":[106],"forms)":[111],"known":[113],"SUs,":[115],"achieving":[117],"robustness":[118],"complex":[120],"environment.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
