{"id":"https://openalex.org/W1621239836","doi":"https://doi.org/10.1109/icccn.2015.7288471","title":"Spectrum Sensing for a Subdivided Band in Cognitive Radio Networks","display_name":"Spectrum Sensing for a Subdivided Band in Cognitive Radio Networks","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1621239836","doi":"https://doi.org/10.1109/icccn.2015.7288471","mag":"1621239836"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2015.7288471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2015.7288471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 24th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042873346","display_name":"Prosanta Paul","orcid":"https://orcid.org/0000-0002-7976-1149"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prosanta Paul","raw_affiliation_strings":["ECE Department Old Dominion, Univ. Norfolk, VA","ECE Dept., Old Dominion Univ., Norfolk, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department Old Dominion, Univ. Norfolk, VA","institution_ids":["https://openalex.org/I81365321"]},{"raw_affiliation_string":"ECE Dept., Old Dominion Univ., Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074327315","display_name":"Chunsheng Xin","orcid":"https://orcid.org/0000-0001-5575-2849"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChunSheng Xin","raw_affiliation_strings":["ECE Department Old Dominion, Univ. Norfolk, VA","ECE Dept., Old Dominion Univ., Norfolk, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department Old Dominion, Univ. Norfolk, VA","institution_ids":["https://openalex.org/I81365321"]},{"raw_affiliation_string":"ECE Dept., Old Dominion Univ., Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882677","display_name":"Min Song","orcid":"https://orcid.org/0000-0002-6245-9816"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Song","raw_affiliation_strings":["CS Department, Michigan Technological Univ. Houghton, MI","CS Dept., Michigan Technol. Univ., Houghton, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CS Department, Michigan Technological Univ. Houghton, MI","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"CS Dept., Michigan Technol. Univ., Houghton, MI, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101792559","display_name":"Yanxiao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I184647316","display_name":"South Dakota School of Mines and Technology","ror":"https://ror.org/00ch7yk27","country_code":"US","type":"education","lineage":["https://openalex.org/I184647316"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanxiao Zhao","raw_affiliation_strings":["ECE Department, South Dakota School of Mines&Tech. Rapid City, SD","ECE Dept., South Dakota Sch. of Mines&Tech., Rapid City, SD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, South Dakota School of Mines&Tech. Rapid City, SD","institution_ids":["https://openalex.org/I184647316"]},{"raw_affiliation_string":"ECE Dept., South Dakota Sch. of Mines&Tech., Rapid City, SD, USA","institution_ids":["https://openalex.org/I184647316"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"97","issue":null,"first_page":"1","last_page":"8"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9919000267982483,"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":0.9042741060256958},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.7275921106338501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951800584793091},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.611096203327179},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5850840210914612},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.4775339365005493},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.45490559935569763},{"id":"https://openalex.org/keywords/frequency-band","display_name":"Frequency band","score":0.449036568403244},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.4016667306423187},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.342384934425354},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.2537844181060791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24816551804542542},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2205289602279663},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1207151710987091},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1135224997997284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09801346063613892}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.9042741060256958},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.7275921106338501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951800584793091},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.611096203327179},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5850840210914612},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.4775339365005493},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.45490559935569763},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.449036568403244},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.4016667306423187},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.342384934425354},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2537844181060791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24816551804542542},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2205289602279663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1207151710987091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1135224997997284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09801346063613892},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2015.7288471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2015.7288471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 24th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482967555","https://openalex.org/W2000121515","https://openalex.org/W2036678089","https://openalex.org/W2038874286","https://openalex.org/W2069187552","https://openalex.org/W2091362152","https://openalex.org/W2101840010","https://openalex.org/W2115755118","https://openalex.org/W2134396534","https://openalex.org/W2139641259","https://openalex.org/W2153732405","https://openalex.org/W2286991923","https://openalex.org/W6695764408"],"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/W2548272431","https://openalex.org/W2132580384","https://openalex.org/W1973050875","https://openalex.org/W2153872761"],"abstract_inverted_index":{"Spectrum":[0],"sensing":[1,16,119],"plays":[2],"a":[3,24,32,43,63,73,115,137,166],"critical":[4],"role":[5],"in":[6,54],"cognitive":[7],"radio":[8],"networks.":[9],"Most":[10],"of":[11,38,84,107,128,173],"existing":[12,183],"works":[13],"on":[14,23,76,81,98,104,125,136,165],"spectrum":[15,118],"adopted":[17],"energy":[18,60],"detection":[19,61,193],"which":[20],"takes":[21],"samples":[22],"band":[25,45,78,100,168,174],"and":[26,131,194],"then":[27],"compares":[28],"the":[29,36,39,49,55,59,77,82,94,99,105,126,142,149,156,162,171,178,182],"summation":[30],"with":[31,181],"threshold":[33,66],"to":[34,68,147,187],"determine":[35],"state":[37],"band.":[40,139],"However,":[41],"if":[42,70],"licensed":[44,138,167],"is":[46,72,101,185],"subdivided":[47],"by":[48,90],"primary":[50,91,198],"users,":[51,92],"such":[52],"as":[53],"unlicensed":[56],"WiFi":[57],"band,":[58],"faces":[62],"challenge.":[64],"The":[65,151],"used":[67,89,108,129],"decide":[69],"there":[71],"PU":[74,134,163],"signal":[75,96,164,200],"now":[79,102],"depends":[80],"number":[83,106,127],"sub-bands":[85,130],"that":[86,121,155],"are":[87],"being":[88],"since":[93],"received":[95],"power":[97],"dependent":[103],"sub-bands.":[109],"In":[110,176],"this":[111],"work,":[112],"we":[113],"propose":[114],"wavelet":[116],"based":[117],"approach":[120,158],"does":[122],"not":[123],"depend":[124],"adaptively":[132],"detects":[133],"signals":[135,146],"We":[140],"use":[141],"measured":[143],"real":[144],"world":[145],"test":[148],"approach.":[150],"simulation":[152],"results":[153],"indicate":[154],"proposed":[157],"can":[159],"effectively":[160],"detect":[161],"without":[169],"needing":[170],"knowledge":[172],"subdivision.":[175],"addition,":[177],"comparative":[179],"study":[180],"techniques":[184],"performed":[186],"evaluate":[188],"two":[189],"performance":[190],"metrics,":[191],"true":[192],"false":[195],"alarm,":[196],"for":[197],"users":[199],"detection.":[201]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}