{"id":"https://openalex.org/W3013335895","doi":"https://doi.org/10.1109/icnc47757.2020.9049678","title":"Non-cooperative OFDM Spectrum Sensing Using Deep Learning","display_name":"Non-cooperative OFDM Spectrum Sensing Using Deep Learning","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3013335895","doi":"https://doi.org/10.1109/icnc47757.2020.9049678","mag":"3013335895"},"language":"en","primary_location":{"id":"doi:10.1109/icnc47757.2020.9049678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc47757.2020.9049678","pdf_url":null,"source":{"id":"https://openalex.org/S4306498707","display_name":"2020 International Conference on Computing, Networking and Communications (ICNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/136471/1/ICNC_camera_version.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044120332","display_name":"Qingqing Cheng","orcid":"https://orcid.org/0000-0003-2664-5176"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Qingqing Cheng","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057129764","display_name":"Zhenguo Shi","orcid":"https://orcid.org/0000-0002-7207-547X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhenguo Shi","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697893","display_name":"Diep N. Nguyen","orcid":"https://orcid.org/0000-0003-2659-8648"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Diep N. Nguyen","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063537942","display_name":"Eryk Dutkiewicz","orcid":"https://orcid.org/0000-0002-4268-9286"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eryk Dutkiewicz","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044120332"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.3866,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78170674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"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":0.809924840927124},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7950974702835083},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6427505016326904},{"id":"https://openalex.org/keywords/carrier-frequency-offset","display_name":"Carrier frequency offset","score":0.6375386714935303},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6276748776435852},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5499727129936218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4963892102241516},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4751938581466675},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4449279308319092},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.41136786341667175},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4106544852256775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3790241479873657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3787105977535248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3304264545440674},{"id":"https://openalex.org/keywords/frequency-offset","display_name":"Frequency offset","score":0.30386173725128174},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.18881458044052124},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15770381689071655},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08621573448181152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809924840927124},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7950974702835083},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6427505016326904},{"id":"https://openalex.org/C2776108382","wikidata":"https://www.wikidata.org/wiki/Q25111451","display_name":"Carrier frequency offset","level":5,"score":0.6375386714935303},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6276748776435852},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5499727129936218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4963892102241516},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4751938581466675},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4449279308319092},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.41136786341667175},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4106544852256775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3790241479873657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3787105977535248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3304264545440674},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.30386173725128174},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.18881458044052124},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15770381689071655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08621573448181152},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icnc47757.2020.9049678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc47757.2020.9049678","pdf_url":null,"source":{"id":"https://openalex.org/S4306498707","display_name":"2020 International Conference on Computing, Networking and Communications (ICNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/136471","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/136471","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/136471/1/ICNC_camera_version.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/136471","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/136471","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/136471/1/ICNC_camera_version.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013335895.pdf","grobid_xml":"https://content.openalex.org/works/W3013335895.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2051500205","https://openalex.org/W2065424480","https://openalex.org/W2076063813","https://openalex.org/W2150767133","https://openalex.org/W2153885183","https://openalex.org/W2168466639","https://openalex.org/W2169762591","https://openalex.org/W2344656918","https://openalex.org/W2371757874","https://openalex.org/W2597229673","https://openalex.org/W2756157229","https://openalex.org/W2773816290","https://openalex.org/W2774942496","https://openalex.org/W2786168957","https://openalex.org/W2944465621"],"related_works":["https://openalex.org/W2181352736","https://openalex.org/W2164367930","https://openalex.org/W4385774821","https://openalex.org/W1965281974","https://openalex.org/W2161400403","https://openalex.org/W24185419","https://openalex.org/W1979121255","https://openalex.org/W2183273440","https://openalex.org/W2539608886","https://openalex.org/W2811018130"],"abstract_inverted_index":{"Although":[0],"spectrum":[1,8,50],"sensing,":[2],"a":[3,46],"key":[4],"technique":[5],"in":[6,112],"dynamic":[7],"access,":[9],"has":[10],"been":[11],"widely":[12],"investigated,":[13],"conventional":[14],"methods":[15],"suffer":[16],"from":[17,66],"carrier":[18],"frequency":[19],"offset":[20],"(CFO),":[21],"timing":[22,87],"delay":[23],"and":[24,63,86],"noise":[25,84],"uncertainty,":[26],"which":[27],"can":[28],"significantly":[29],"degrade":[30],"the":[31,67,73,90,95,101],"sensing":[32,51,75,118,153],"performance.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"aim":[38],"to":[39,59,72,82,130,149],"tackle":[40],"those":[41],"challenging":[42],"issues":[43],"by":[44],"developing":[45],"stacked":[47],"autoencoder":[48],"based":[49,117],"approach":[52,78],"(SAE-SS).":[53],"The":[54],"SAE":[55],"architecture":[56],"is":[57,79,135,147],"employed":[58],"effectively":[60],"learn":[61],"useful":[62],"hidden":[64],"information":[65],"original":[68],"received":[69],"signals.":[70],"Compared":[71],"existing":[74],"methods,":[76],"our":[77,120,144],"more":[80],"robust":[81],"CFO,":[83],"uncertainty":[85],"delay.":[88],"Unlike":[89],"traditional":[91],"feature-based":[92],"detection":[93],"approaches,":[94,119],"proposed":[96,145],"framework":[97],"does":[98,122],"not":[99,123],"require":[100],"prior":[102],"knowledge":[103],"or":[104],"specific":[105,132],"features":[106,133],"of":[107,159,164],"incumbent":[108],"users":[109],"(IUs).":[110],"Moreover,":[111],"comparison":[113],"with":[114],"machine":[115],"learning":[116],"solution":[121],"need":[124],"any":[125],"external":[126],"feature":[127],"extraction":[128],"algorithms":[129],"extract":[131],"(that":[134],"essential":[136],"for":[137],"ML-based":[138],"ones).":[139],"Through":[140],"extensive":[141],"experimental":[142],"results,":[143],"method":[146],"demonstrated":[148],"achieve":[150],"notably":[151],"higher":[152],"accuracy,":[154],"e.g.,":[155],"29%":[156],"reduced":[157],"probability":[158],"miss":[160],"detection,":[161],"than":[162],"that":[163],"state-of-the-art":[165],"approaches.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}