{"id":"https://openalex.org/W4406355988","doi":"https://doi.org/10.1109/wcsp62071.2024.10827767","title":"Channel Scenario Identification Under Varying SNR Conditions Using Transfer Learning","display_name":"Channel Scenario Identification Under Varying SNR Conditions Using Transfer Learning","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355988","doi":"https://doi.org/10.1109/wcsp62071.2024.10827767"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10827767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5108314065","display_name":"Zhaowei Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaowei Guan","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071116710","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-0666-6095"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["The 54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang,China,050081"],"affiliations":[{"raw_affiliation_string":"The 54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang,China,050081","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033422280","display_name":"Peiran Wu","orcid":"https://orcid.org/0000-0001-9747-3629"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiran Wu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347668","display_name":"Xiaofeng Li","orcid":"https://orcid.org/0000-0001-5155-8475"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinang Li","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044610505","display_name":"Xingcheng Liu","orcid":"https://orcid.org/0000-0003-1836-2205"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingcheng Liu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052938144","display_name":"Minghua Xia","orcid":"https://orcid.org/0000-0002-0820-2227"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Xia","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108314065"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.7471,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73041709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9954000115394592,"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/T10860","display_name":"Speech and Audio Processing","score":0.9954000115394592,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9818999767303467,"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":0.9807999730110168,"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/identification","display_name":"Identification (biology)","score":0.6523337364196777},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.618260383605957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071599125862122},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4670352637767792},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.43666452169418335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28208863735198975},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2273317575454712}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6523337364196777},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.618260383605957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071599125862122},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4670352637767792},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.43666452169418335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28208863735198975},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2273317575454712},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10827767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2741403911","https://openalex.org/W2890445686","https://openalex.org/W2890889532","https://openalex.org/W2982590090","https://openalex.org/W3011167820","https://openalex.org/W3033789406","https://openalex.org/W3037865499","https://openalex.org/W3092022054","https://openalex.org/W3106902366","https://openalex.org/W3111425395","https://openalex.org/W3170240583","https://openalex.org/W3200830898","https://openalex.org/W4205307821","https://openalex.org/W4285293905","https://openalex.org/W4312421941","https://openalex.org/W4322576964","https://openalex.org/W4362683579","https://openalex.org/W4385245566","https://openalex.org/W4385453376","https://openalex.org/W4386736936"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2335709813"],"abstract_inverted_index":{"Identifying":[0],"channel":[1,33,48,51,67],"scenarios":[2,49,68],"is":[3,58,82],"crucial":[4],"for":[5],"developing":[6],"and":[7,25,69],"optimizing":[8],"wireless":[9],"communication":[10],"systems":[11],"in":[12,101],"the":[13,31,62,86,106,111,127],"forthcoming":[14],"6G":[15],"networks.":[16],"In":[17],"these":[18],"networks,":[19],"transceivers":[20],"can":[21,114,137],"adjust":[22],"transmission":[23],"schemes":[24],"optimize":[26],"resource":[27],"allocation":[28],"based":[29],"on":[30],"identified":[32],"scenario.":[34],"This":[35],"study":[36],"proposes":[37],"a":[38,92],"deep":[39,131],"convolutional":[40],"neural":[41],"network":[42],"(CNN)":[43],"model":[44,57,113],"to":[45,60,84,89,91,117,119,147],"identify":[46],"different":[47],"using":[50],"frequency":[52],"response":[53],"(CFR)":[54],"autocorrelation.":[55],"The":[56,129],"trained":[59],"recognize":[61],"unique":[63],"features":[64],"of":[65,95,110],"various":[66],"demonstrates":[70],"strong":[71,141],"performance":[72,142],"under":[73],"varying":[74],"signal-to-noise":[75],"ratio":[76],"(SNR)":[77],"conditions.":[78],"Additionally,":[79],"transfer":[80,135],"learning":[81],"employed":[83],"improve":[85],"model's":[87],"ability":[88],"generalize":[90,139],"broader":[93],"range":[94],"SNR":[96,121,145],"conditions":[97,122,146],"beyond":[98],"those":[99],"used":[100],"training.":[102],"With":[103],"minimal":[104],"data,":[105],"final":[107],"two":[108],"layers":[109],"CNN":[112],"be":[115],"adjusted":[116],"adapt":[118],"new":[120,148],"without":[123],"requiring":[124],"retraining":[125],"from":[126,143],"beginning.":[128],"proposed":[130],"CNN,":[132],"combined":[133],"with":[134],"learning,":[136],"effectively":[138],"its":[140],"known":[144],"ones.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}