{"id":"https://openalex.org/W2034839437","doi":"https://doi.org/10.1109/tvt.2013.2282344","title":"On the Eigenvalue-Based Spectrum Sensing and Secondary User Throughput","display_name":"On the Eigenvalue-Based Spectrum Sensing and Secondary User Throughput","publication_year":2013,"publication_date":"2013-09-17","ids":{"openalex":"https://openalex.org/W2034839437","doi":"https://doi.org/10.1109/tvt.2013.2282344","mag":"2034839437"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2013.2282344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2013.2282344","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3435771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017884554","display_name":"Ayse Kortun","orcid":null},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ayse Kortun","raw_affiliation_strings":["Queen's University Belfast, Belfast, U.K","ECIT, Queen's University Belfast, Belfast, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Queen's University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"ECIT, Queen's University Belfast, Belfast, UK#TAB#","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091847007","display_name":"Tharmalingam Ratnarajah","orcid":"https://orcid.org/0000-0002-7636-1246"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tharmalingam Ratnarajah","raw_affiliation_strings":["Institute for Digital Communications, School of Engineering, The University of Edinburgh, Edinburgh, U.K","ECIT, Queen's University Belfast, Belfast, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, School of Engineering, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"ECIT, Queen's University Belfast, Belfast, UK#TAB#","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071345719","display_name":"Mathini Sellathurai","orcid":"https://orcid.org/0000-0002-8738-8583"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]},{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mathini Sellathurai","raw_affiliation_strings":["School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K","ECIT, Queen's University Belfast, Belfast, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"ECIT, Queen's University Belfast, Belfast, UK#TAB#","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007832415","display_name":"Ying\u2010Chang Liang","orcid":"https://orcid.org/0000-0003-2671-5090"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ying-Chang Liang","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research (A $\\ast$ STAR), Singapore","Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research (A $\\ast$ STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore#TAB#","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033008230","display_name":"Yonghong Zeng","orcid":"https://orcid.org/0000-0002-9451-105X"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yonghong Zeng","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research (A $\\ast$ STAR), Singapore","Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research (A $\\ast$ STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore#TAB#","institution_ids":["https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017884554"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":null,"apc_paid":null,"fwci":5.7993,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96356435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"63","issue":"3","first_page":"1480","last_page":"1486"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9855999946594238,"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/false-alarm","display_name":"False alarm","score":0.7167941331863403},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7161749601364136},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6562336683273315},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6115294694900513},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.5640358924865723},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5270699858665466},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5206738710403442},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5046595335006714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4704747796058655},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4642857313156128},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4463281035423279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37561073899269104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3363538384437561},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31843113899230957},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16537490487098694},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11411625146865845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.109477698802948},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08603504300117493}],"concepts":[{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.7167941331863403},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7161749601364136},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6562336683273315},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6115294694900513},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.5640358924865723},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5270699858665466},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5206738710403442},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5046595335006714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4704747796058655},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4642857313156128},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4463281035423279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37561073899269104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3363538384437561},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31843113899230957},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16537490487098694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11411625146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.109477698802948},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08603504300117493},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2013.2282344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2013.2282344","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:3435771","is_oa":true,"landing_page_url":"https://zenodo.org/record/3435771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3435771","is_oa":true,"landing_page_url":"https://zenodo.org/record/3435771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1996928520","https://openalex.org/W2003953023","https://openalex.org/W2014935627","https://openalex.org/W2043206143","https://openalex.org/W2053008018","https://openalex.org/W2062556115","https://openalex.org/W2084436032","https://openalex.org/W2097409659","https://openalex.org/W2103537022","https://openalex.org/W2121406747","https://openalex.org/W2122274174","https://openalex.org/W2131900983","https://openalex.org/W2136816673","https://openalex.org/W2144353775","https://openalex.org/W2147153302","https://openalex.org/W2150307184","https://openalex.org/W2150420188","https://openalex.org/W2163930010","https://openalex.org/W2169879363","https://openalex.org/W2170749473","https://openalex.org/W2171402290","https://openalex.org/W3008609509","https://openalex.org/W3100080841"],"related_works":["https://openalex.org/W1983393909","https://openalex.org/W2354373235","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W2508876486","https://openalex.org/W1911540634","https://openalex.org/W2013909972","https://openalex.org/W2408444874","https://openalex.org/W2385308768","https://openalex.org/W1968998224"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,31],"study":[4,32],"the":[5,14,25,36,48,85,88,116,138,156],"tradeoff":[6],"between":[7],"sensing":[8,22,45,123],"time":[9],"and":[10,56,92,110,130],"achievable":[11,146],"throughput":[12,86,117,147],"of":[13,27,35,42],"secondary":[15],"user":[16],"that":[17],"employs":[18],"robust":[19,43,157],"eigenvalue-based":[20,44,102,121,158],"spectrum":[21,122],"techniques":[23,124],"in":[24,73],"presence":[26],"noise":[28,97,164],"uncertainty.":[29,165],"First,":[30],"exact":[33],"distributions":[34],"test":[37,53],"statistics":[38],"for":[39,101],"two":[40],"types":[41],"techniques,":[46,159],"namely,":[47],"blind":[49],"generalized":[50],"likelihood":[51],"ratio":[52],"(B-GLRT)":[54],"detection":[55,91,108],"energy":[57,141],"with":[58,137],"minimum":[59],"eigenvalue":[60,107,112],"(EME)":[61],"detection.":[62,114],"The":[63,133],"developed":[64],"threshold":[65],"setting":[66],"is":[67,118,148],"more":[68],"accurate":[69],"than":[70],"benchmark":[71],"methods":[72],"achieving":[74],"a":[75],"target":[76],"constant":[77],"false":[78,93],"alarm":[79,94],"rate":[80],"(CFAR).":[81],"Second,":[82],"prior":[83],"to":[84,163],"analysis,":[87],"necessary":[89],"asymptotic":[90],"probabilities":[95],"under":[96,150],"uncertainty":[98],"are":[99,126,135,161],"formulated":[100],"detectors":[103],"such":[104],"as":[105],"maximum":[106],"(MED)":[109],"maximum-minimum":[111],"(MME)":[113],"Finally,":[115],"maximized":[119],"using":[120],"which":[125,160],"B-GLRT,":[127],"EME,":[128],"MME,":[129],"MED":[131],"detectors.":[132],"results":[134],"compared":[136],"commonly":[139],"used":[140],"detector":[142],"(ED).":[143],"An":[144],"improved":[145],"obtained":[149],"low-signal-to-noise-ratio":[151],"(SNR)":[152],"regime":[153],"by":[154],"incorporating":[155],"insusceptible":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
