{"id":"https://openalex.org/W4391406956","doi":"https://doi.org/10.1109/jstsp.2024.3358980","title":"Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN","display_name":"Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391406956","doi":"https://doi.org/10.1109/jstsp.2024.3358980"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2024.3358980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2024.3358980","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5102773986","display_name":"Guangming Liang","orcid":"https://orcid.org/0000-0003-3260-0353"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangming Liang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040560297","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-5157-0172"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435639","display_name":"Kun Yang","orcid":"https://orcid.org/0000-0002-6782-6689"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yang","raw_affiliation_strings":["School of Intelligent Software and Engineering, Nanjing University, Nanjing, China","School of Information and Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Software and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"School of Information and Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747991","display_name":"Siyao Song","orcid":"https://orcid.org/0009-0006-6220-8132"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyao Song","raw_affiliation_strings":["Huawei Technologies Company Ltd, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Company Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023580397","display_name":"Tingcai Liu","orcid":"https://orcid.org/0009-0005-0437-440X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingcai Liu","raw_affiliation_strings":["Huawei Technologies Company Ltd, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Company Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646797","display_name":"Ning Xie","orcid":"https://orcid.org/0009-0006-5669-9094"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Xie","raw_affiliation_strings":["Huawei Technologies Company Ltd, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Company Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101412627","display_name":"Yijun Yu","orcid":"https://orcid.org/0009-0008-5279-8380"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Yu","raw_affiliation_strings":["Huawei Technologies Company Ltd, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Company Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102773986"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":5.75,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96604179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"18","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12495","display_name":"Electrostatic Discharge in Electronics","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12495","display_name":"Electrostatic Discharge in Electronics","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/overfitting","display_name":"Overfitting","score":0.8026647567749023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481060028076172},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7195999622344971},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7000511884689331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4692893922328949},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45708703994750977},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42953547835350037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4180383086204529},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36900195479393005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3652249574661255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3571584224700928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14098215103149414},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09417608380317688}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8026647567749023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481060028076172},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7195999622344971},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7000511884689331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4692893922328949},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45708703994750977},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42953547835350037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4180383086204529},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36900195479393005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3652249574661255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3571584224700928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14098215103149414},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09417608380317688},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2024.3358980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2024.3358980","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2910869718","display_name":null,"funder_award_id":"2022C01093","funder_id":"https://openalex.org/F8142712028","funder_display_name":"Key Research and Development Program of Zhejiang Province"},{"id":"https://openalex.org/G6189603853","display_name":null,"funder_award_id":"62301122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7888387042","display_name":null,"funder_award_id":"62132004","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/F8142712028","display_name":"Key Research and Development Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1513873506","https://openalex.org/W1947481528","https://openalex.org/W2259391824","https://openalex.org/W2618530766","https://openalex.org/W2899320340","https://openalex.org/W2964051635","https://openalex.org/W2995099986","https://openalex.org/W3035892629","https://openalex.org/W3040454237","https://openalex.org/W3044626808","https://openalex.org/W3046863942","https://openalex.org/W3049282540","https://openalex.org/W3053152524","https://openalex.org/W3088157974","https://openalex.org/W3094402648","https://openalex.org/W3111564107","https://openalex.org/W3130568834","https://openalex.org/W3133777092","https://openalex.org/W3163246710","https://openalex.org/W3170361437","https://openalex.org/W3185546912","https://openalex.org/W3215234199","https://openalex.org/W4205733733","https://openalex.org/W4206133298","https://openalex.org/W4210516329","https://openalex.org/W4210698675","https://openalex.org/W4214853664","https://openalex.org/W4214899876","https://openalex.org/W4282004200","https://openalex.org/W4283650407","https://openalex.org/W4283713103","https://openalex.org/W4285158933","https://openalex.org/W4285817698","https://openalex.org/W4293762926","https://openalex.org/W4294891570","https://openalex.org/W4295955391","https://openalex.org/W4296707125","https://openalex.org/W4312795736","https://openalex.org/W4317350132","https://openalex.org/W4323540175","https://openalex.org/W4382775434","https://openalex.org/W4386361821","https://openalex.org/W4386447089","https://openalex.org/W6628877408","https://openalex.org/W6640212811","https://openalex.org/W6767782324","https://openalex.org/W6839228473"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W4293202849","https://openalex.org/W3200695403","https://openalex.org/W4288087796","https://openalex.org/W2982339091"],"abstract_inverted_index":{"In":[0,44],"order":[1],"to":[2,22,33,70,102],"realize":[3],"advanced":[4],"system":[5],"design":[6],"for":[7,51],"the":[8,37,41,53,76,80,90,104,108,117,129,132,153,157,166,170,177,181,191],"sophisticated":[9],"mobile":[10],"networks,":[11],"predictive":[12,54],"digital":[13],"twin":[14],"(DT)":[15],"channel":[16,25,63,82,134,159,183],"is":[17,49,100],"constructed":[18],"via":[19,143],"data-driven":[20],"approaches":[21],"provide":[23,123],"high-accuracy":[24],"prediction.":[26],"However,":[27],"lacking":[28],"sufficient":[29],"time-series":[30,95],"datasets":[31,78,110],"leads":[32],"overfitting,":[34],"which":[35],"degrades":[36],"prediction":[38,178],"accuracy":[39,179],"of":[40,61,107,131,180],"DT":[42,55,182],"channel.":[43,198],"this":[45,141],"paper,":[46],"data":[47,172],"augmentation":[48,173],"investigated":[50],"constructing":[52],"channel,":[56],"while":[57,136],"enhancing":[58],"its":[59],"capability":[60],"tackling":[62],"aging":[64,197],"problem.":[65],"The":[66],"feature":[67],"space":[68,126,142],"needs":[69],"be":[71],"learned":[72],"by":[73,127],"guaranteeing":[74],"that":[75,152],"synthetic":[77,114,154],"have":[79],"same":[81,158],"coefficient":[83,160],"distribution":[84,161],"and":[85,111,120,146,162],"time-frequency-space":[86],"domain":[87],"correlations":[88,164],"as":[89,165],"original":[91,109,133,167],"ones.":[92],"Therefore,":[93],"convolutional":[94],"generative":[96],"adversarial":[97,137],"network":[98,119,122],"(TimeGAN)":[99],"proposed":[101,171],"capture":[103],"intrinsic":[105],"features":[106],"then":[112],"generate":[113],"samples.":[115],"Specifically,":[116],"embedding":[118],"recovery":[121],"a":[124,185],"latent":[125],"reducing":[128],"dimensions":[130],"datasets,":[135],"learning":[138],"operates":[139],"in":[140,184,195],"sequence":[144,147],"generator":[145],"discriminator.":[148],"Simulation":[149],"results":[150],"demonstrate":[151],"dataset":[155],"has":[156],"multi-domain":[163],"one.":[168],"Moreover,":[169],"scheme":[174],"effectively":[175],"improves":[176],"dynamic":[186],"wireless":[187],"environment,":[188],"thereby":[189],"increasing":[190],"achievable":[192],"spectral":[193],"efficiency":[194],"an":[196]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":8}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}