{"id":"https://openalex.org/W2081486972","doi":"https://doi.org/10.1109/wpmc.2014.7014858","title":"Performance evaluation of spectrum sensing based on wavelet entropy for cognitive radio networks","display_name":"Performance evaluation of spectrum sensing based on wavelet entropy for cognitive radio networks","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2081486972","doi":"https://doi.org/10.1109/wpmc.2014.7014858","mag":"2081486972"},"language":"en","primary_location":{"id":"doi:10.1109/wpmc.2014.7014858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2014.7014858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)","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/A5031698005","display_name":"Guangqian Chu","orcid":"https://orcid.org/0000-0002-2135-9114"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqian Chu","raw_affiliation_strings":["Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","School of Information Science & Electric Engineering, Shandong Jiaotong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information Science & Electric Engineering, Shandong Jiaotong University, Jinan, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008455605","display_name":"Kai Niu","orcid":"https://orcid.org/0000-0002-8076-1867"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Niu","raw_affiliation_strings":["Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103527635","display_name":"Weiling Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiling Wu","raw_affiliation_strings":["Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101151948","display_name":"Fangliao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangliao Yang","raw_affiliation_strings":["Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103002288","display_name":"Weipeng Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weipeng Jiang","raw_affiliation_strings":["Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3599,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68345159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"57","issue":null,"first_page":"434","last_page":"438"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.9256128072738647},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6565403938293457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168668270111084},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.5071077346801758},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.49518075585365295},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.47599661350250244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47192999720573425},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4696478247642517},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4689556956291199},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4687778055667877},{"id":"https://openalex.org/keywords/spectrum-management","display_name":"Spectrum management","score":0.4675418734550476},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3745286166667938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24765393137931824},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19146078824996948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18809190392494202}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.9256128072738647},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6565403938293457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168668270111084},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.5071077346801758},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.49518075585365295},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.47599661350250244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47192999720573425},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4696478247642517},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4689556956291199},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4687778055667877},{"id":"https://openalex.org/C63029442","wikidata":"https://www.wikidata.org/wiki/Q6504978","display_name":"Spectrum management","level":4,"score":0.4675418734550476},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3745286166667938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24765393137931824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19146078824996948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18809190392494202},{"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/wpmc.2014.7014858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2014.7014858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)","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/W1977000462","https://openalex.org/W2002113461","https://openalex.org/W2028008313","https://openalex.org/W2038809151","https://openalex.org/W2080482466","https://openalex.org/W2113183295","https://openalex.org/W2118533364","https://openalex.org/W2143454546","https://openalex.org/W2155999145","https://openalex.org/W2164877501","https://openalex.org/W2173444364","https://openalex.org/W2535082722","https://openalex.org/W3128611524","https://openalex.org/W7034552453"],"related_works":["https://openalex.org/W2236567279","https://openalex.org/W4225341666","https://openalex.org/W2545213287","https://openalex.org/W2392764151","https://openalex.org/W2786459840","https://openalex.org/W2336181987","https://openalex.org/W2598828511","https://openalex.org/W1988869880","https://openalex.org/W2381640075","https://openalex.org/W1995578397"],"abstract_inverted_index":{"As":[0],"wireless":[1],"communication":[2],"services":[3],"grow":[4],"quickly,":[5],"the":[6,14,28,31,39,72,93,99,112,123,129,133,147],"seriousness":[7],"of":[8,30,132],"spectrum":[9,44,49,78,114,135],"scarcity":[10],"has":[11,82],"been":[12],"on":[13,52,66],"rise":[15],"gradually.":[16],"Cognitive":[17],"radio":[18,32,57],"(CR)":[19],"is":[20,43,96,106,117,138,149],"viewed":[21],"as":[22],"a":[23],"novel":[24],"approach":[25,80],"for":[26],"improving":[27],"utilization":[29],"electromagnetic":[33],"spectrum.":[34],"Among":[35],"its":[36],"fundamental":[37],"functions,":[38],"most":[40],"important":[41],"function":[42],"sensing.":[45],"This":[46],"paper":[47],"develops":[48],"sensing":[50,79,115,136],"based":[51,65],"wavelet":[53,67,73],"entropy(WE)":[54],"in":[55,98],"cognitive":[56],"networks.":[58],"Then":[59],"we":[60,76],"compared":[61],"with":[62],"Spectrum":[63],"Sensing":[64],"packet":[68],"entropy(WPE).":[69],"According":[70],"to":[71,141,144],"transform":[74],"theory,":[75],"proposed":[77],"which":[81],"two":[83,134],"advantages:":[84],"low":[85,100],"computational":[86],"complexity":[87],"and":[88],"less":[89],"response":[90],"time.":[91],"When":[92],"detected":[94],"signal":[95],"concentrated":[97],"frequency":[101],"band,":[102],"our":[103],"detection":[104,130],"method":[105],"cost-effective.":[107],"Simulation":[108],"results":[109,125],"show":[110],"that":[111,128],"presented":[113],"algorithm":[116],"robust":[118],"against":[119],"noise":[120],"uncertainty.":[121],"Furthermore,":[122],"simulation":[124],"also":[126],"indicate":[127],"probability":[131],"approaches":[137],"almost":[139],"same":[140],"be":[142],"close":[143],"1,":[145],"when":[146],"SNR":[148],"greater":[150],"than":[151],"-6dB.":[152]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
