{"id":"https://openalex.org/W3212745589","doi":"https://doi.org/10.1109/iccc52777.2021.9580342","title":"CNN-Based Distributed Learning for Spectrum Sensing in Cognitive Radio Networks","display_name":"CNN-Based Distributed Learning for Spectrum Sensing in Cognitive Radio Networks","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3212745589","doi":"https://doi.org/10.1109/iccc52777.2021.9580342","mag":"3212745589"},"language":"en","primary_location":{"id":"doi:10.1109/iccc52777.2021.9580342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc52777.2021.9580342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","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/A5073536756","display_name":"Wenbo Fan","orcid":"https://orcid.org/0000-0002-4525-9812"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Fan","raw_affiliation_strings":["Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317832","display_name":"Lu He","orcid":"https://orcid.org/0000-0001-8401-0588"},"institutions":[{"id":"https://openalex.org/I4210106741","display_name":"Shanghai Aerospace Automobile Electromechanical (China)","ror":"https://ror.org/01dwnnm75","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210106741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu He","raw_affiliation_strings":["Shanghai Aerospace Electronics Company Limited, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronics Company Limited, Shanghai, China","institution_ids":["https://openalex.org/I4210106741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091745362","display_name":"Yan Long","orcid":"https://orcid.org/0000-0002-3772-5369"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Long","raw_affiliation_strings":["Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040276493","display_name":"Honghao Ju","orcid":"https://orcid.org/0000-0003-3608-8094"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghao Ju","raw_affiliation_strings":["Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068424357","display_name":"Shijun Lin","orcid":"https://orcid.org/0000-0001-8545-0016"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Lin","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073536756"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19899647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1137","last_page":"1142"},"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":0.9991999864578247,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8928347229957581},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.7847776412963867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683156728744507},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5786948800086975},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5682585835456848},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5597629547119141},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4682651162147522},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.45362889766693115},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.418878436088562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39390766620635986},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31774023175239563},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.22824788093566895},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1275615096092224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08910447359085083}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8928347229957581},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.7847776412963867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683156728744507},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5786948800086975},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5682585835456848},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5597629547119141},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4682651162147522},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.45362889766693115},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.418878436088562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39390766620635986},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31774023175239563},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.22824788093566895},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1275615096092224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08910447359085083},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc52777.2021.9580342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc52777.2021.9580342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G559553317","display_name":null,"funder_award_id":"61601380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7766112920","display_name":null,"funder_award_id":"2682021ZTPY051,2682021CF019,2682020CX85","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1977104631","https://openalex.org/W1982436641","https://openalex.org/W2042128636","https://openalex.org/W2065424480","https://openalex.org/W2069292411","https://openalex.org/W2074296313","https://openalex.org/W2133956326","https://openalex.org/W2340718617","https://openalex.org/W2886600306","https://openalex.org/W2912213068","https://openalex.org/W2922368802","https://openalex.org/W2963318081","https://openalex.org/W2966910701","https://openalex.org/W2982620377","https://openalex.org/W2996224367","https://openalex.org/W2996845627","https://openalex.org/W3015636663","https://openalex.org/W3016353205","https://openalex.org/W3036275239","https://openalex.org/W3084050033","https://openalex.org/W3106356772","https://openalex.org/W3170881869","https://openalex.org/W6796590893"],"related_works":["https://openalex.org/W2098233271","https://openalex.org/W1556853708","https://openalex.org/W4294642751","https://openalex.org/W2117233216","https://openalex.org/W2144291038","https://openalex.org/W2438107623","https://openalex.org/W2753489163","https://openalex.org/W2043858676","https://openalex.org/W4297533531","https://openalex.org/W2952411908"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"convolutional":[6],"neural":[7],"network":[8],"(CNN)-based":[9],"distributed":[10,23,117],"learning":[11,24,118],"scheme":[12,83,121],"for":[13],"spectrum":[14,102,119],"sensing":[15,103,120,125],"in":[16,90,127],"cognitive":[17],"radio":[18],"networks":[19,92],"(CRN).":[20],"With":[21],"the":[22,69,94,101,107,114,123],"architecture,":[25],"local":[26],"training":[27],"is":[28,63,75],"performed":[29,57],"on":[30,58,65],"each":[31,66],"secondary":[32,91],"user":[33],"(SU)":[34],"according":[35],"to":[36],"its":[37],"data":[38],"sample.":[39],"After":[40],"model":[41,51,62],"parameters":[42],"are":[43,56],"exchanged":[44],"between":[45],"SU":[46,67],"and":[47,54,68,98],"fusion":[48],"center":[49],"(FC),":[50],"parameter":[52],"aggregation":[53],"update":[55],"FC.":[59],"The":[60,81],"CNN":[61],"utilized":[64],"covariance":[70],"matrix":[71],"of":[72,79,87],"received":[73],"signal":[74],"designed":[76],"as":[77],"input":[78],"CNN.":[80],"proposed":[82,115],"avoids":[84],"large":[85],"amount":[86],"traffic":[88],"transmission":[89],"during":[93],"online":[95],"detection":[96],"period,":[97],"meanwhile,":[99],"improves":[100],"performance":[104],"even":[105],"under":[106],"topology":[108],"change":[109],"scenarios.":[110],"Simulations":[111],"show":[112],"that":[113],"CNN-based":[116],"outperforms":[122],"conventional":[124],"algorithms":[126],"CRN.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}