{"id":"https://openalex.org/W4391547859","doi":"https://doi.org/10.1109/tvt.2024.3361928","title":"Reparameterization Causal Convolutional Network for Automatic Modulation Classification","display_name":"Reparameterization Causal Convolutional Network for Automatic Modulation Classification","publication_year":2024,"publication_date":"2024-02-05","ids":{"openalex":"https://openalex.org/W4391547859","doi":"https://doi.org/10.1109/tvt.2024.3361928"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3361928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3361928","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","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/A5102737241","display_name":"Ning Tang","orcid":"https://orcid.org/0009-0009-0582-5945"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Tang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092483697","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0002-0532-8799"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103278586","display_name":"Fei Zhou","orcid":"https://orcid.org/0009-0007-0756-8546"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhou","raw_affiliation_strings":["College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025380506","display_name":"Shengyu Tang","orcid":"https://orcid.org/0009-0002-0923-3751"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Tang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056849892","display_name":"Yaohui Lyu","orcid":"https://orcid.org/0009-0001-8873-5903"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohui Lyu","raw_affiliation_strings":["College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean Univesity of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102737241"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":6.183,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9677652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"73","issue":"6","first_page":"8576","last_page":"8583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.5703983902931213},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4620712399482727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4559205174446106},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4521295726299286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32370761036872864},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1772218942642212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5703983902931213},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4620712399482727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4559205174446106},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4521295726299286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32370761036872864},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1772218942642212},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3361928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3361928","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1904365287","https://openalex.org/W2154655348","https://openalex.org/W2272847350","https://openalex.org/W2603396821","https://openalex.org/W2752782242","https://openalex.org/W2773170971","https://openalex.org/W2795250928","https://openalex.org/W2945017192","https://openalex.org/W2963809753","https://openalex.org/W2983220838","https://openalex.org/W3000943722","https://openalex.org/W3003494250","https://openalex.org/W3006541201","https://openalex.org/W3032977069","https://openalex.org/W3038716110","https://openalex.org/W3104581735","https://openalex.org/W3126877825","https://openalex.org/W3167976421","https://openalex.org/W3168231499","https://openalex.org/W3169313989","https://openalex.org/W3171038842","https://openalex.org/W3175065799","https://openalex.org/W3193052805","https://openalex.org/W3193513114","https://openalex.org/W4212957666","https://openalex.org/W4226327168","https://openalex.org/W4285106632","https://openalex.org/W4285240987","https://openalex.org/W4286255690","https://openalex.org/W4289656492","https://openalex.org/W4293195393","https://openalex.org/W4389160165","https://openalex.org/W6638444622","https://openalex.org/W6640036494","https://openalex.org/W6730655975","https://openalex.org/W6762418441","https://openalex.org/W6773650956","https://openalex.org/W6858919649"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"With":[0],"the":[1,103,138,141],"proliferation":[2],"of":[3,140],"wireless":[4,158],"technologies":[5],"in":[6,26],"vehicular":[7,28],"networks,":[8],"robust":[9,157],"automatic":[10],"modulation":[11],"classification":[12,100,160],"(AMC)":[13],"has":[14],"become":[15],"crucial":[16],"for":[17,33,156],"optimizing":[18],"spectrum":[19],"utilization":[20],"and":[21,55,63,110],"maintaining":[22],"reliability.":[23],"However,":[24],"AMC":[25,57],"dynamic":[27],"channels":[29],"poses":[30],"significant":[31,149],"challenges":[32],"traditional":[34],"machine":[35],"learning":[36,154],"techniques.":[37],"This":[38,145],"paper":[39],"proposes":[40],"a":[41,148],"novel":[42],"CNN-based":[43],"approach":[44],"named":[45],"Reparameterization":[46],"Causal":[47],"Convolutional":[48],"Network":[49],"(RepCCNet)":[50],"to":[51,67,92,118,127],"achieve":[52],"highly":[53,123],"accurate":[54],"noise-robust":[56],"performance.":[58],"RepCCNet":[59,121],"incorporates":[60],"causal":[61],"convolutions":[62],"structural":[64],"reparameterization":[65],"techniques":[66],"extract":[68],"long-term":[69],"time-domain":[70],"features.":[71],"A":[72],"bottleneck":[73],"structure":[74],"with":[75],"channel":[76],"attention":[77],"dynamically":[78],"calibrates":[79],"feature":[80],"channels,":[81],"retaining":[82],"only":[83],"helpful":[84],"information.":[85],"Multi-sample":[86],"dropout":[87],"is":[88],"integrated":[89],"during":[90],"training":[91],"improve":[93],"generalization":[94],"capability.":[95],"We":[96],"demonstrate":[97],"RepCCNet's":[98],"state-of-the-art":[99,128],"accuracy":[101],"on":[102],"two":[104],"widely":[105],"used":[106],"datasets,":[107],"RadioML":[108,111],"2016.10a":[109],"2018.01a,":[112],"across":[113],"varying":[114],"signal-to-noise":[115],"ratios.":[116],"Compared":[117],"existing":[119],"methods,":[120],"achieves":[122],"competitive":[124],"results":[125],"compared":[126],"approaches,":[129],"utilizing":[130],"fewer":[131],"than":[132],"40k":[133],"parameters.":[134],"Ablation":[135],"studies":[136],"validate":[137],"contributions":[139],"proposed":[142],"architectural":[143],"innovations.":[144],"work":[146],"represents":[147],"advancement":[150],"toward":[151],"developing":[152],"deep":[153],"solutions":[155],"signal":[159],"tasks.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}