{"id":"https://openalex.org/W2961738463","doi":"https://doi.org/10.1109/icc.2019.8761360","title":"Deep CNN for Spectrum Sensing in Cognitive Radio","display_name":"Deep CNN for Spectrum Sensing in Cognitive Radio","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2961738463","doi":"https://doi.org/10.1109/icc.2019.8761360","mag":"2961738463"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5100353377","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0003-4959-7541"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China (UESTC), Chengdu, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China (UESTC), Chengdu, P. R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103096827","display_name":"Xuemeng Liu","orcid":"https://orcid.org/0000-0002-4527-0173"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemeng Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, P. R. China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007832415","display_name":"Ying\u2010Chang Liang","orcid":"https://orcid.org/0000-0003-2671-5090"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Chang Liang","raw_affiliation_strings":["University of Electronic Science and Technology of China (UESTC), Chengdu, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China (UESTC), Chengdu, P. R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9998999834060669,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","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/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":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7567732930183411},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5751010179519653},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.5545107126235962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378699898719788},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.517565906047821},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.497454434633255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45496779680252075},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.43234914541244507},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4166262745857239},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4129277467727661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34740889072418213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34626731276512146},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.3064500391483307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15315455198287964},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1261257827281952},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11533498764038086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567732930183411},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5751010179519653},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.5545107126235962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378699898719788},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.517565906047821},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.497454434633255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45496779680252075},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.43234914541244507},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4166262745857239},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4129277467727661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34740889072418213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34626731276512146},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3064500391483307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15315455198287964},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1261257827281952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11533498764038086},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1993573682","https://openalex.org/W2031211320","https://openalex.org/W2034377106","https://openalex.org/W2107561590","https://openalex.org/W2110704086","https://openalex.org/W2112796928","https://openalex.org/W2119137700","https://openalex.org/W2120031724","https://openalex.org/W2155682372","https://openalex.org/W2172139273","https://openalex.org/W2511058381","https://openalex.org/W2551632168","https://openalex.org/W2551956255","https://openalex.org/W2766845249","https://openalex.org/W2786168957","https://openalex.org/W2897098321","https://openalex.org/W2919115771","https://openalex.org/W3128947043"],"related_works":["https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W3015822731","https://openalex.org/W1974955043","https://openalex.org/W2397904024","https://openalex.org/W2075332338","https://openalex.org/W4386776152","https://openalex.org/W1970221037","https://openalex.org/W2919042"],"abstract_inverted_index":{"The":[0],"existing":[1,106],"spectrum":[2,161],"sensing":[3,162],"methods":[4,22,110],"mostly":[5],"make":[6],"decisions":[7],"using":[8],"model-driven":[9,21,36],"test":[10,130,171],"statistics,":[11],"such":[12],"as":[13,82],"energy":[14],"and":[15,54,100,133],"eigenvalues.":[16],"A":[17],"weakness":[18],"of":[19,65,73,85,97,168,189,199,216,218],"these":[20],"is":[23,193],"the":[24,35,62,78,83,105,113,144,153,160,166,169,179,186,190,196,204,214,219,223],"difficulty":[25],"in":[26,38,70,122,159],"accurately":[27],"modeling":[28],"for":[29,128,156],"practical":[30,136],"environment.":[31],"In":[32],"contrast":[33],"to":[34,47,143,195],"approach,":[37],"this":[39,123],"paper,":[40],"we":[41,76,125,151],"use":[42,77,126],"a":[43,56,88,135,146,210],"deep":[44,107],"neural":[45,67,120],"network":[46,68],"automatically":[48],"learn":[49],"features":[50,72],"from":[51,104],"data":[52],"itself,":[53],"develop":[55,134],"data-driven":[57],"detection":[58,93,109,115,139,187,217,227],"approach.":[59],"Inspired":[60],"by":[61,117,229],"powerful":[63],"capability":[64],"convolutional":[66],"(CNN)":[69],"extracting":[71],"matrix-shaped":[74],"data,":[75],"sample":[79],"covariance":[80,90],"matrix":[81],"input":[84],"CNN,":[86],"proposing":[87],"novel":[89],"matrix-aware":[91],"CNN-based":[92],"scheme,":[94],"which":[95,111,164],"consists":[96],"offline":[98,129,157],"training":[99,158],"online":[101,138],"detection.":[102],"Different":[103],"learning-based":[108],"replace":[112],"whole":[114],"system":[116],"an":[118],"end-to-end":[119],"network,":[121],"work,":[124],"CNN":[127],"statistic":[131],"design":[132],"threshold-based":[137],"mechanism.":[140],"Specially,":[141],"according":[142],"maximum":[145,225],"posteriori":[147],"probability":[148,215],"(MAP)":[149],"criterion,":[150],"derive":[152],"cost":[154],"function":[155],"model,":[163],"guarantees":[165],"optimality":[167],"designed":[170],"statistic.":[172],"Simulation":[173],"results":[174],"have":[175],"shown":[176],"that":[177],"whether":[178],"PU":[180,205],"signals":[181,206],"are":[182,207],"independent":[183],"or":[184],"correlated,":[185],"performance":[188],"proposed":[191,220],"method":[192,221,228],"close":[194],"optimal":[197],"bound":[198],"estimator-correlator":[200],"detector.":[201],"Particularly,":[202],"when":[203],"correlated":[208],"with":[209],"correlation":[211],"coefficient":[212],"0.7,":[213],"outperforms":[222],"conventional":[224],"eigenvalue":[226],"nearly":[230],"7.5":[231],"times":[232],"at":[233],"SNR":[234],"=":[235],"-14dB.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
