{"id":"https://openalex.org/W4394595594","doi":"https://doi.org/10.1109/lwc.2024.3384813","title":"Single-Channel Blind Source Separation in Wireless Communications: A Complex-Domain Deep Learning Approach","display_name":"Single-Channel Blind Source Separation in Wireless Communications: A Complex-Domain Deep Learning Approach","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394595594","doi":"https://doi.org/10.1109/lwc.2024.3384813"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2024.3384813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2024.3384813","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-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/A5040901349","display_name":"Pengcheng Guo","orcid":"https://orcid.org/0009-0003-7891-8495"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Guo","raw_affiliation_strings":["Sixty-Third Research Institute and the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Nanjing, China","Sixty-third Research Institute, National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-7891-8495","affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute and the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Sixty-third Research Institute, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064612161","display_name":"Yu Miao","orcid":"https://orcid.org/0000-0001-6845-5771"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Yu","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031134747","display_name":"Lei Shen","orcid":"https://orcid.org/0000-0003-2736-3306"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shen","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2736-3306","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090744597","display_name":"Zhi Lin","orcid":"https://orcid.org/0000-0003-0011-7383"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Lin","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0011-7383","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603588","display_name":"Kang An","orcid":"https://orcid.org/0000-0003-4720-0635"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang An","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4720-0635","affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029002143","display_name":"Jiangzhou Wang","orcid":"https://orcid.org/0000-0003-0881-3594"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiangzhou Wang","raw_affiliation_strings":["School of Engineering, University of Kent, Canterbury, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0881-3594","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Kent, Canterbury, U.K","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5047,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95498837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"6","first_page":"1645","last_page":"1649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"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/T10860","display_name":"Speech and Audio Processing","score":0.9966999888420105,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9672999978065491,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7785388231277466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6983264088630676},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6127745509147644},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48280322551727295},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4364303946495056},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4198282063007355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3873659670352936},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3722609281539917}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7785388231277466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983264088630676},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6127745509147644},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48280322551727295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4364303946495056},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4198282063007355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3873659670352936},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3722609281539917}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2024.3384813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2024.3384813","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1911706750","https://openalex.org/W2189292795","https://openalex.org/W2194775991","https://openalex.org/W2217748584","https://openalex.org/W2291877678","https://openalex.org/W2460742184","https://openalex.org/W2608506311","https://openalex.org/W2753053285","https://openalex.org/W2773170971","https://openalex.org/W2952218014","https://openalex.org/W2991361823","https://openalex.org/W3099330747","https://openalex.org/W3160085755","https://openalex.org/W4311996111","https://openalex.org/W4322503713","https://openalex.org/W6680012447","https://openalex.org/W6738884980"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W3024816962","https://openalex.org/W2889447638","https://openalex.org/W973023320","https://openalex.org/W1910172735","https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W2107688514","https://openalex.org/W2137288760"],"abstract_inverted_index":{"The":[0],"escalating":[1],"crosstalk":[2],"and":[3,38,51,90,104,122,137,144],"interference":[4],"in":[5,23,27,140],"wireless":[6,28],"services":[7],"necessitate":[8],"effective":[9],"techniques":[10],"like":[11],"single-channel":[12],"blind":[13],"source":[14],"separation":[15,37,117],"(SCBSS).":[16],"Deep":[17],"Learning":[18],"(DL)":[19],"has":[20],"shown":[21],"promise":[22],"enhancing":[24,111],"spectrum":[25],"efficiency":[26],"communications.":[29],"Existing":[30],"DL-SCBSS":[31],"methods":[32,136],"primarily":[33],"focus":[34],"on":[35],"speech":[36,39,116],"enhancement,":[40],"limiting":[41],"their":[42],"direct":[43],"application":[44],"to":[45,49,94],"communication":[46,99],"signals":[47],"due":[48],"waveform":[50],"time":[52],"scale":[53],"differences.":[54],"To":[55],"overcome":[56],"this,":[57],"we":[58],"introduce":[59],"a":[60,69,80],"complex":[61,70,75,85,91,127],"time-domain":[62],"dilated":[63,86,109],"convolutional":[64,81],"recurrent":[65,82],"network":[66,83],"(CTDCRN)":[67],"featuring":[68],"hierarchical":[71],"encoder":[72],"(CHE)":[73],"for":[74],"signal":[76,113],"representation.":[77],"CTDCRN":[78,119],"employs":[79],"with":[84],"convolution":[87],"module":[88],"(CDCM)":[89],"LSTM":[92],"(CLSTM)":[93],"extract":[95],"precise":[96],"features":[97],"from":[98],"signals.":[100,128],"CDCM":[101],"models":[102],"short":[103],"long-term":[105],"dependencies":[106],"using":[107],"depth-wise":[108],"convolutions,":[110],"individual":[112],"separation.":[114],"Unlike":[115],"networks,":[118],"processes":[120],"in-phase":[121],"quadrature":[123],"components":[124],"(I/Q)":[125],"of":[126],"Simulation":[129],"results":[130],"showcase":[131],"CTDCRN\u2019s":[132],"superiority":[133],"over":[134],"traditional":[135],"real-valued":[138],"networks":[139],"Pearson\u2019s":[141],"correlation":[142],"coefficient":[143],"bit":[145],"error":[146],"rate":[147],"(BER).":[148]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
