{"id":"https://openalex.org/W2098282746","doi":"https://doi.org/10.1109/icc.2011.5963196","title":"Spectrum Sensing Algorithms via Finite Random Matrix Theory","display_name":"Spectrum Sensing Algorithms via Finite Random Matrix Theory","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2098282746","doi":"https://doi.org/10.1109/icc.2011.5963196","mag":"2098282746"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2011.5963196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2011.5963196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Communications (ICC)","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/A5042210188","display_name":"Giuseppe Thadeu Freitas de Abreu","orcid":"https://orcid.org/0000-0002-5018-8174"},"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":"Giuseppe Thadeu Freitas de Abreu","raw_affiliation_strings":["Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland","Centre for Wireless Communication, University of Oulu, Oulu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Centre for Wireless Communication, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414787","display_name":"Wensheng Zhang","orcid":"https://orcid.org/0000-0003-0752-941X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wensheng Zhang","raw_affiliation_strings":["Dept. of Electron. &amp; Electr. Eng., Keio Univ., Yokohama, Japan","Dept. of Electron. & Electr. Eng., Keio Univ., Yokohama, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electron. &amp; Electr. Eng., Keio Univ., Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Dept. of Electron. & Electr. Eng., Keio Univ., Yokohama, Japan#TAB#","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112813862","display_name":"Sanada Yukitoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukitoshi Sanada","raw_affiliation_strings":["Dept. of Electron. &amp; Electr. Eng., Keio Univ., Yokohama, Japan","Dept. of Electron. & Electr. Eng., Keio Univ., Yokohama, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electron. &amp; Electr. Eng., Keio Univ., Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Dept. of Electron. & Electr. Eng., Keio Univ., Yokohama, Japan#TAB#","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11716","display_name":"Random Matrices and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11716","display_name":"Random Matrices and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"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":0.9958000183105469,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9958000183105469,"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/wishart-distribution","display_name":"Wishart distribution","score":0.8024548888206482},{"id":"https://openalex.org/keywords/random-matrix","display_name":"Random matrix","score":0.7997571229934692},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6441890001296997},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5066767334938049},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47976765036582947},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.4626093804836273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45788633823394775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4332001209259033},{"id":"https://openalex.org/keywords/finite-set","display_name":"Finite set","score":0.4236887991428375},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.21567967534065247},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18602418899536133},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12494978308677673},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1058817207813263}],"concepts":[{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.8024548888206482},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.7997571229934692},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6441890001296997},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5066767334938049},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47976765036582947},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.4626093804836273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45788633823394775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4332001209259033},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.4236887991428375},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.21567967534065247},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18602418899536133},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12494978308677673},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1058817207813263},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2011.5963196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2011.5963196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1629294355","https://openalex.org/W1850657288","https://openalex.org/W1857410117","https://openalex.org/W1964492749","https://openalex.org/W1965268603","https://openalex.org/W1974755392","https://openalex.org/W1991127564","https://openalex.org/W2002912011","https://openalex.org/W2044046421","https://openalex.org/W2071707134","https://openalex.org/W2072184935","https://openalex.org/W2098971218","https://openalex.org/W2101840010","https://openalex.org/W2108821143","https://openalex.org/W2113525985","https://openalex.org/W2118293214","https://openalex.org/W2136816673","https://openalex.org/W2142110788","https://openalex.org/W2158817550","https://openalex.org/W2167230435","https://openalex.org/W2545739207","https://openalex.org/W3098548805","https://openalex.org/W4229746864","https://openalex.org/W6636749995","https://openalex.org/W6684841347"],"related_works":["https://openalex.org/W3184522547","https://openalex.org/W2078787338","https://openalex.org/W3101298537","https://openalex.org/W2162274332","https://openalex.org/W3125124522","https://openalex.org/W1991845283","https://openalex.org/W3164104362","https://openalex.org/W2546541196","https://openalex.org/W2765796454","https://openalex.org/W2269779340"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,31,34,56,65,80,94,101,104,128,133,144,147,170,204,216],"Primary":[3],"User":[4],"(PU)":[5],"detection":[6],"(spectrum":[7],"sensing)":[8],"problem,":[9],"relevant":[10],"to":[11,50,54,100,119,126],"cognitive":[12],"radio,":[13],"from":[14],"a":[15,113,158,182,192,219],"finite":[16,48,105,114,206],"random":[17,43],"matrix":[18],"theoretical":[19],"(RMT)":[20],"perspective.":[21],"Specifically,":[22],"we":[23],"employ":[24],"recently-derived":[25],"closed-form":[26],"and":[27,41,136,162,165,186],"exact":[28],"expressions":[29,125,168],"for":[30,169],"distribution":[32],"of":[33,39,47,58,64,87,93,103,116,139,146,160,179,184,189,194],"standard":[35],"condition":[36],"number":[37,115],"(SCN)":[38],"uncorrelated":[40],"semi-correlated":[42],"dual":[44],"Wishart":[45],"matrices":[46],"sizes,":[49],"design":[51],"Hypothesis-Testing":[52],"algorithms":[53,208],"detect":[55],"presence":[57,137],"PU":[59,81,140],"signals.":[60],"An":[61],"inherent":[62],"characteristic":[63,173],"SCN/RMT-based":[66],"approach,":[67],"is":[68,83,110,153,200],"that":[69,203],"no":[70],"signal-to-noise":[71],"ratio":[72],"(SNR)":[73],"estimation":[74],"or":[75],"any":[76],"other":[77,90],"information":[78],"on":[79],"signal":[82,141],"required.":[84],"On":[85],"top":[86],"this":[88],"property,":[89],"attractive":[91],"advantages":[92],"new":[95],"techniques":[96],"are:":[97],"a)":[98,161],"due":[99],"accuracy":[102],"SCN":[106,129],"distributions,":[107],"superior":[108],"performance":[109],"achieved":[111],"under":[112],"samples,":[117],"compared":[118],"asymptotic":[120],"RMT-based":[121,207],"alternatives;":[122],"b)":[123],"since":[124],"model":[127],"statistics":[130,145],"both":[131,176],"in":[132,151,177,187,215],"absence":[134],"(H0)":[135],"(H1)":[138],"are":[142,197],"used,":[143],"spectrum":[148],"sensing":[149],"problem":[150],"question":[152],"completely":[154],"characterized;":[155],"c)":[156],"as":[157,181,191],"consequence":[159],"b),":[163],"accurate":[164],"simple":[166],"analytical":[167],"receiver":[171],"operating":[172],"(ROC)":[174],"-":[175,196],"terms":[178,188],"PD":[180],"function":[183,193],"PF":[185],"PA":[190],"PM":[195],"yielded.":[198],"It":[199],"also":[201],"shown":[202],"proposed":[205],"outperforms":[209],"all":[210],"similar":[211],"alternatives":[212],"currently":[213],"known":[214],"literature,":[217],"at":[218],"substantially":[220],"lower":[221],"complexity.":[222]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
