{"id":"https://openalex.org/W4407247222","doi":"https://doi.org/10.1109/lwc.2025.3539821","title":"Diffusion Model Empowered Data Augmentation for Automatic Modulation Recognition","display_name":"Diffusion Model Empowered Data Augmentation for Automatic Modulation Recognition","publication_year":2025,"publication_date":"2025-02-07","ids":{"openalex":"https://openalex.org/W4407247222","doi":"https://doi.org/10.1109/lwc.2025.3539821"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2025.3539821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3539821","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/A5101753482","display_name":"Mingkun Li","orcid":"https://orcid.org/0000-0003-3332-7168"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingkun Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Institute of Data and Information, Shenzhen, China","Tsinghua Shenzhen International Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Institute of Data and Information, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317580","display_name":"Pengyu Wang","orcid":"https://orcid.org/0000-0003-4581-9004"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047157","display_name":"Yuhan Dong","orcid":"https://orcid.org/0000-0001-5275-1787"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Dong","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Institute of Data and Information, Shenzhen, China","Tsinghua Shenzhen International Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Institute of Data and Information, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102023049","display_name":"Zhaocheng Wang","orcid":"https://orcid.org/0000-0002-6150-3846"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocheng Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101753482"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I4210114105"],"apc_list":null,"apc_paid":null,"fwci":9.4273,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97203655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"1224","last_page":"1228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9373999834060669,"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":0.9373999834060669,"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":0.6124314665794373},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5690604448318481},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.49052542448043823},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.4211040139198303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4209691882133484},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41705119609832764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37892603874206543},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3551517724990845},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10464176535606384},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10089138150215149},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0985935628414154},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.09050974249839783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6124314665794373},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5690604448318481},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.49052542448043823},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.4211040139198303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4209691882133484},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41705119609832764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37892603874206543},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3551517724990845},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10464176535606384},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10089138150215149},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0985935628414154},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.09050974249839783},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2025.3539821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3539821","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":[{"id":"https://openalex.org/G3238292133","display_name":null,"funder_award_id":"GZB20240387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5956853450","display_name":null,"funder_award_id":"2024T170492","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8047082324","display_name":null,"funder_award_id":"U22B2057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2272847350","https://openalex.org/W2790452209","https://openalex.org/W2982504214","https://openalex.org/W2995727660","https://openalex.org/W3085481492","https://openalex.org/W3103114094","https://openalex.org/W3172195905","https://openalex.org/W4226059106","https://openalex.org/W4308390397","https://openalex.org/W4382371846","https://openalex.org/W4400277774","https://openalex.org/W4404293809","https://openalex.org/W4406321575","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W1965572316","https://openalex.org/W2112220318","https://openalex.org/W2154610955","https://openalex.org/W2073717954","https://openalex.org/W2147228188","https://openalex.org/W2948594896","https://openalex.org/W2142969332","https://openalex.org/W2006284743","https://openalex.org/W1577302144","https://openalex.org/W2967546683"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1,7],"recognition":[2,130],"(AMR),":[3],"which":[4],"distinguishes":[5],"the":[6,64,68,105,111,116,129],"type":[8],"of":[9,71,107],"wireless":[10],"signals,":[11],"is":[12,55,100],"crucial":[13],"for":[14,50,110],"spectrum":[15],"sensing":[16],"and":[17,42,62],"signal":[18],"analysis,":[19],"providing":[20],"valuable":[21],"insights":[22],"into":[23],"surrounding":[24],"environment.":[25],"Recently,":[26],"deep":[27],"learning":[28],"(DL)":[29],"has":[30],"been":[31],"increasingly":[32],"applied":[33],"in":[34],"AMR":[35],"due":[36],"to":[37,57,102,115],"its":[38],"robust":[39,65],"feature":[40],"extraction":[41],"generalization":[43],"capability.":[44],"To":[45],"obtain":[46],"substantial":[47],"high-quality":[48],"data":[49],"DL":[51,59],"training,":[52],"diffusion":[53,72,112],"model":[54,73],"utilized":[56],"augment":[58],"training":[60,69,84,89],"samples":[61,109],"facilitate":[63],"AMR.":[66],"Considering":[67],"difficulty":[70],"without":[74],"high":[75],"signal-to-noise":[76],"ratio":[77],"(SNR)":[78],"data,":[79],"we":[80],"propose":[81],"a":[82],"SNR-adaptive":[83],"methodology":[85,126],"that":[86,123],"enables":[87],"effective":[88],"on":[90],"insufficient":[91],"dataset":[92],"with":[93],"low":[94],"SNR.":[95],"Additionally,":[96],"multiple":[97],"sampling":[98],"method":[99],"provided":[101],"significantly":[103],"increase":[104],"number":[106],"generated":[108],"model,":[113],"leading":[114],"enhanced":[117],"classification":[118],"performance.":[119],"Simulation":[120],"results":[121],"show":[122],"our":[124],"proposed":[125],"could":[127],"improve":[128],"accuracy":[131],"effectively.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
