{"id":"https://openalex.org/W2106483076","doi":"https://doi.org/10.1109/tsp.2010.2045425","title":"Cooperative Spectrum Sensing in Cognitive Radios With Incomplete Likelihood Functions","display_name":"Cooperative Spectrum Sensing in Cognitive Radios With Incomplete Likelihood Functions","publication_year":2010,"publication_date":"2010-03-12","ids":{"openalex":"https://openalex.org/W2106483076","doi":"https://doi.org/10.1109/tsp.2010.2045425","mag":"2106483076"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2010.2045425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2045425","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-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/A5026503952","display_name":"Sepideh Zarrin","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sepideh Zarrin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068478144","display_name":"Teng Joon Lim","orcid":"https://orcid.org/0000-0002-3356-2240"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Teng Joon Lim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026503952"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":4.6296,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95121682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"6","first_page":"3272","last_page":"3281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9995999932289124,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8742086887359619},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.6989837884902954},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.6897541284561157},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6083989143371582},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.6024718880653381},{"id":"https://openalex.org/keywords/sufficient-statistic","display_name":"Sufficient statistic","score":0.6017688512802124},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5995157957077026},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5299338698387146},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5137289762496948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5124397873878479},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5057971477508545},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5018680095672607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4925020635128021},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4789460301399231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3961934447288513},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.17439571022987366},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14471128582954407}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8742086887359619},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.6989837884902954},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.6897541284561157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6083989143371582},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.6024718880653381},{"id":"https://openalex.org/C178197554","wikidata":"https://www.wikidata.org/wiki/Q1099110","display_name":"Sufficient statistic","level":2,"score":0.6017688512802124},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5995157957077026},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5299338698387146},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5137289762496948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5124397873878479},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5057971477508545},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5018680095672607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4925020635128021},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4789460301399231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3961934447288513},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.17439571022987366},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14471128582954407},{"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/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/tsp.2010.2045425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2045425","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1965392255","https://openalex.org/W1982575274","https://openalex.org/W2008651162","https://openalex.org/W2071707134","https://openalex.org/W2072987322","https://openalex.org/W2103932706","https://openalex.org/W2117368822","https://openalex.org/W2133380705","https://openalex.org/W2134049434","https://openalex.org/W2134931138","https://openalex.org/W2137813581","https://openalex.org/W2141972130","https://openalex.org/W2145197862","https://openalex.org/W2146364557","https://openalex.org/W2155999145","https://openalex.org/W2162824811","https://openalex.org/W2164473397","https://openalex.org/W2165202277","https://openalex.org/W2167973602","https://openalex.org/W2168078104","https://openalex.org/W2168908332"],"related_works":["https://openalex.org/W2074709698","https://openalex.org/W1979261829","https://openalex.org/W2140760796","https://openalex.org/W1836503284","https://openalex.org/W2168908332","https://openalex.org/W780220278","https://openalex.org/W3204147144","https://openalex.org/W2106483076","https://openalex.org/W1974030868","https://openalex.org/W2094292909"],"abstract_inverted_index":{"This":[0,50,66],"paper":[1],"investigates":[2],"the":[3,16,22,31,36,87,104,126,135,152,155,162,170,177,183],"problem":[4],"of":[5,154],"cooperative":[6,194],"spectrum":[7,195],"sensing":[8,196],"in":[9,15,72,193,199],"cognitive":[10,73],"radios":[11],"with":[12],"unknown":[13,88,108,116],"parameters":[14,63],"likelihood":[17,24],"function.":[18],"We":[19],"first":[20],"derive":[21,134,151],"optimal":[23,178],"ratio":[25],"test":[26,128,157,172],"(LRT)":[27],"statistic":[28],"based":[29],"on":[30],"Neyman-Pearson":[32],"(NP)":[33],"criterion":[34],"at":[35],"fusion":[37],"center":[38],"for":[39,131,141],"hard":[40],"(one-bit),":[41],"soft":[42],"(infinite":[43],"precision)":[44],"and":[45,61,90,111,114,129,147,158,202],"quantized":[46],"(multi-bit)":[47],"local":[48],"decisions.":[49],"NP-based":[51],"LRT":[52,179],"detector":[53,140],"is":[54],"feasible":[55],"only":[56],"if":[57],"primary":[58,109,117,184],"signal":[59,110,118,203],"statistics":[60,119,160],"channel":[62,112,122,200],"are":[64],"known.":[65],"assumption":[67],"may":[68],"not":[69,98,181],"be":[70],"realistic":[71],"radio":[74],"systems.":[75],"Thus,":[76],"we":[77,124,150],"propose":[78],"a":[79,187],"linear":[80,156,171],"composite":[81],"hypothesis":[82],"testing":[83],"approach":[84],"which":[85],"estimates":[86],"parameters,":[89],"further":[91],"simplify":[92],"it":[93,96],"so":[94],"that":[95,169],"does":[97],"even":[99],"require":[100],"these":[101],"estimates.":[102],"Under":[103],"scenarios":[105],"of:":[106],"i)":[107],"statistics;":[113],"ii)":[115],"but":[120],"known":[121],"statistics,":[123],"apply":[125],"proposed":[127],"also,":[130],"case":[132],"ii),":[133],"locally":[136],"most":[137],"powerful":[138],"(LMP)":[139],"weak":[142],"signals.":[143],"For":[144],"performance":[145],"analysis":[146],"threshold":[148],"setting,":[149],"distributions":[153],"LMP":[159],"under":[161],"signal-absent":[163],"hypothesis.":[164],"Our":[165],"simulation":[166],"results":[167],"show":[168],"performs":[173],"very":[174],"closely":[175],"to":[176,197],"while":[180],"requiring":[182],"statistics.":[185,204],"As":[186],"result,":[188],"this":[189],"method":[190],"enhances":[191],"robustness":[192],"uncertainties":[198],"gains":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
