{"id":"https://openalex.org/W2986962210","doi":"https://doi.org/10.1145/3361758.3361781","title":"Weighted Eigenvalues based Spectrum Sensing for Cognitive Radio Systems","display_name":"Weighted Eigenvalues based Spectrum Sensing for Cognitive Radio Systems","publication_year":2019,"publication_date":"2019-08-22","ids":{"openalex":"https://openalex.org/W2986962210","doi":"https://doi.org/10.1145/3361758.3361781","mag":"2986962210"},"language":"en","primary_location":{"id":"doi:10.1145/3361758.3361781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3361758.3361781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Big Data and Internet of Things","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/A5101502780","display_name":"Pankaj Verma","orcid":"https://orcid.org/0000-0003-2732-5465"},"institutions":[{"id":"https://openalex.org/I105094715","display_name":"National Institute of Technology Kurukshetra","ror":"https://ror.org/04909p852","country_code":"IN","type":"education","lineage":["https://openalex.org/I105094715"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pankaj Verma","raw_affiliation_strings":["National Institute of Technology, Kurukshetra"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Kurukshetra","institution_ids":["https://openalex.org/I105094715"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101417876","display_name":"Brahmjit Singh","orcid":"https://orcid.org/0000-0002-0094-6926"},"institutions":[{"id":"https://openalex.org/I105094715","display_name":"National Institute of Technology Kurukshetra","ror":"https://ror.org/04909p852","country_code":"IN","type":"education","lineage":["https://openalex.org/I105094715"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brahmjit Singh","raw_affiliation_strings":["National Institute of Technology, Kurukshetra"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Kurukshetra","institution_ids":["https://openalex.org/I105094715"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101502780"],"corresponding_institution_ids":["https://openalex.org/I105094715"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.16942509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"64"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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":0.9955999851226807,"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/cognitive-radio","display_name":"Cognitive radio","score":0.8538095951080322},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.7417263984680176},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6690384149551392},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6602771878242493},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.642722487449646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6188854575157166},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.545505166053772},{"id":"https://openalex.org/keywords/random-matrix","display_name":"Random matrix","score":0.5207750201225281},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4739285111427307},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4611437916755676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4592054486274719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4446048140525818},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41295409202575684},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2832343578338623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2084001898765564},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17312076687812805},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13193580508232117},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10814598202705383}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8538095951080322},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.7417263984680176},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6690384149551392},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6602771878242493},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.642722487449646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6188854575157166},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.545505166053772},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.5207750201225281},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4739285111427307},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4611437916755676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4592054486274719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4446048140525818},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41295409202575684},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2832343578338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2084001898765564},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17312076687812805},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13193580508232117},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10814598202705383},{"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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3361758.3361781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3361758.3361781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W166475061","https://openalex.org/W616265588","https://openalex.org/W1999270766","https://openalex.org/W2022063744","https://openalex.org/W2071707134","https://openalex.org/W2110704086","https://openalex.org/W2118293214","https://openalex.org/W2122226128","https://openalex.org/W2136816673","https://openalex.org/W2153090463","https://openalex.org/W2168078104","https://openalex.org/W2766129239","https://openalex.org/W2964255670","https://openalex.org/W4254373586"],"related_works":["https://openalex.org/W2181410425","https://openalex.org/W2051888740","https://openalex.org/W2382279859","https://openalex.org/W2046691252","https://openalex.org/W3203708548","https://openalex.org/W2384472869","https://openalex.org/W2132580384","https://openalex.org/W1973050875","https://openalex.org/W2003835194","https://openalex.org/W1996209778"],"abstract_inverted_index":{"Spectrum":[0],"sensing":[1,20],"in":[2,13],"low":[3,40],"signal":[4,38],"to":[5,58],"noise":[6],"ratio":[7],"region":[8],"is":[9,49,81],"of":[10,31,64,68,78,93],"great":[11],"significance":[12],"cognitive":[14],"radio":[15],"networks.":[16],"Eigenvalue":[17],"based":[18],"spectrum":[19],"methods":[21],"are":[22,56],"generally":[23],"used":[24],"for":[25,51,75],"detecting":[26,52],"correlated":[27],"signals.":[28,54],"The":[29],"performance":[30],"these":[32],"algorithms":[33],"degrades":[34],"if":[35],"the":[36,59,65,72,76,91,94],"transmitted":[37],"has":[39],"correlation.":[41],"In":[42],"this":[43],"paper,":[44],"a":[45],"new":[46],"eigenvalue-based":[47],"algorithm":[48],"proposed":[50,95],"uncorrelated":[53],"Weights":[55],"assigned":[57],"maximum":[60],"and":[61],"minimum":[62],"eigenvalues":[63],"covariance":[66],"matrix":[67],"received":[69],"signal.":[70],"Thereafter,":[71],"analytical":[73],"expression":[74],"probability":[77],"false":[79],"alarm":[80],"derived":[82],"by":[83],"using":[84],"Random":[85],"Matrix":[86],"Theorem.":[87],"Numerical":[88],"results":[89],"verify":[90],"effectiveness":[92],"scheme.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
