{"id":"https://openalex.org/W2028641302","doi":"https://doi.org/10.1109/glocom.2012.6503286","title":"Pattern classification techniques for cooperative spectrum sensing in cognitive radio networks: SVM and W-KNN approaches","display_name":"Pattern classification techniques for cooperative spectrum sensing in cognitive radio networks: SVM and W-KNN approaches","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2028641302","doi":"https://doi.org/10.1109/glocom.2012.6503286","mag":"2028641302"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2012.6503286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5043005084","display_name":"Karaputugala Madushan Thilina","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Karaputugala Madushan Thilina","raw_affiliation_strings":["University of Manitoba, Canada","University of MANITOBA (Canada)"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"University of MANITOBA (Canada)","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111876537","display_name":"Kae Won Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kae Won Choi","raw_affiliation_strings":["University of Manitoba, Canada","University of MANITOBA (Canada)"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"University of MANITOBA (Canada)","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030471076","display_name":"Nazmus Saquib","orcid":"https://orcid.org/0000-0002-2819-2839"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nazmus Saquib","raw_affiliation_strings":["University of Manitoba, Canada","University of MANITOBA (Canada)"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"University of MANITOBA (Canada)","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089270885","display_name":"Ekram Hossain","orcid":"https://orcid.org/0000-0002-5932-6887"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ekram Hossain","raw_affiliation_strings":["University of Manitoba, Canada","University of MANITOBA (Canada)"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"University of MANITOBA (Canada)","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043005084"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":4.8759,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95266671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1260","last_page":"1265"},"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":1.0,"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":1.0,"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":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8245387077331543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7301579713821411},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.6889265775680542},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6654897332191467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6521178483963013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6080048084259033},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5884020924568176},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5061857104301453},{"id":"https://openalex.org/keywords/unavailability","display_name":"Unavailability","score":0.5020396709442139},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5004119873046875},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.43721941113471985},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41008636355400085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3495978116989136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.322619765996933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23308423161506653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09482547640800476}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8245387077331543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7301579713821411},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.6889265775680542},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6654897332191467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521178483963013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6080048084259033},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5884020924568176},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5061857104301453},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.5020396709442139},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5004119873046875},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.43721941113471985},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41008636355400085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3495978116989136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.322619765996933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23308423161506653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09482547640800476},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2012.6503286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W49486804","https://openalex.org/W1510073064","https://openalex.org/W1516753959","https://openalex.org/W1573149518","https://openalex.org/W1967514042","https://openalex.org/W1985668412","https://openalex.org/W2055385272","https://openalex.org/W2061819184","https://openalex.org/W2065715415","https://openalex.org/W2069292411","https://openalex.org/W2071707134","https://openalex.org/W2076839709","https://openalex.org/W2096529685","https://openalex.org/W2101840010","https://openalex.org/W2107441100","https://openalex.org/W2112341685","https://openalex.org/W2119821739","https://openalex.org/W2135512801","https://openalex.org/W2145159658","https://openalex.org/W2145873277","https://openalex.org/W2146315101","https://openalex.org/W2150397642","https://openalex.org/W2153090463","https://openalex.org/W2153831889","https://openalex.org/W2161391533","https://openalex.org/W2170524206","https://openalex.org/W2549007020","https://openalex.org/W3019114926","https://openalex.org/W4237795257","https://openalex.org/W4238591469","https://openalex.org/W4239510810","https://openalex.org/W4239875977","https://openalex.org/W6601967094","https://openalex.org/W6666776182","https://openalex.org/W6681152830"],"related_works":["https://openalex.org/W4237235066","https://openalex.org/W2026539069","https://openalex.org/W207884067","https://openalex.org/W3127016596","https://openalex.org/W2365973415","https://openalex.org/W3146085540","https://openalex.org/W1482423459","https://openalex.org/W2996457675","https://openalex.org/W2129918226","https://openalex.org/W2158177428"],"abstract_inverted_index":{"We":[0],"consider":[1],"novel":[2],"cooperative":[3],"spectrum":[4],"sensing":[5],"(CSS)":[6],"algorithms":[7,166],"based":[8],"on":[9],"the":[10,41,51,55,58,80,89,96,99,109,123,139,146,160,168],"pattern":[11,171],"classification":[12,30,87,132],"techniques":[13,31],"for":[14,34,84,136],"cognitive":[15],"radio":[16],"(CR)":[17],"networks.":[18],"In":[19,79],"this":[20,105],"regard,":[21],"support":[22,90],"vector":[23],"machine":[24],"(SVM)":[25],"and":[26,48,69,75,102,138,163],"weighted":[27,130,164],"K-nearest-neighbor":[28],"(KNN)":[29],"are":[32,44,92,142],"implemented":[33],"CSS.":[35],"The":[36],"received":[37],"signal":[38],"strength":[39],"at":[40],"CR":[42],"users":[43],"treated":[45],"as":[46],"features":[47],"fed":[49],"into":[50,73],"classifier":[52],"to":[53],"detect":[54],"availability":[56,68],"of":[57,64,82,86,111,118,151],"primary":[59],"user":[60],"(PU).":[61],"Each":[62],"instance":[63],"PU":[65],"activity":[66],"(i.e.,":[67],"unavailability)":[70],"is":[71,134],"categorized":[72],"positive":[74],"negative":[76],"classes":[77],"(respectively).":[78],"case":[81],"SVM,":[83],"minimization":[85],"errors":[88],"vectors":[91],"obtained":[93],"by":[94,121,144],"maximizing":[95],"margin":[97],"between":[98],"separating":[100],"hyperplane":[101],"data.":[103],"Towards":[104],"end,":[106],"we":[107],"investigate":[108],"effect":[110],"different":[112],"kernels":[113],"through":[114],"quantifying":[115],"in":[116],"terms":[117],"detection":[119],"probability":[120],"representing":[122],"receiver":[124],"operating":[125],"characteristic":[126],"(ROC)":[127],"curves.":[128],"Furthermore,":[129],"KNN":[131,165],"technique":[133],"proposed":[135,161],"CSS":[137,173],"corresponding":[140],"weights":[141],"calculated":[143],"evaluating":[145],"area":[147],"under":[148],"ROC":[149],"curve":[150],"each":[152],"feature.":[153],"Our":[154],"comparative":[155],"results":[156],"clearly":[157],"reveal":[158],"that":[159],"SVM":[162],"outperform":[167],"existing":[169],"state-of-the-art":[170],"classification-based":[172],"techniques.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
