{"id":"https://openalex.org/W4377971285","doi":"https://doi.org/10.1109/tccn.2023.3279260","title":"Semi-Supervised MIMO Detection Using Cycle-Consistent Generative Adversarial Network","display_name":"Semi-Supervised MIMO Detection Using Cycle-Consistent Generative Adversarial Network","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4377971285","doi":"https://doi.org/10.1109/tccn.2023.3279260"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2023.3279260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2023.3279260","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5102784412","display_name":"Hongzhi Zhu","orcid":"https://orcid.org/0000-0001-6423-0575"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhi Zhu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6423-0575","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567548","display_name":"Yongliang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongliang Guo","raw_affiliation_strings":["Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013867024","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0001-9341-8382"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9341-8382","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0809-8511","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72173807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"9","issue":"5","first_page":"1226","last_page":"1240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9990000128746033,"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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9890999794006348,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8124626874923706},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5833982825279236},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.565334141254425},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5480452179908752},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5136215090751648},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4871761202812195},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4869635999202728},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.45608919858932495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41917097568511963},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.417540043592453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4147787094116211},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19275307655334473},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.16998422145843506},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08477503061294556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124626874923706},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5833982825279236},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.565334141254425},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5480452179908752},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5136215090751648},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4871761202812195},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4869635999202728},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.45608919858932495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41917097568511963},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.417540043592453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4147787094116211},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19275307655334473},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.16998422145843506},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08477503061294556},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2023.3279260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2023.3279260","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6546769403","display_name":null,"funder_award_id":"62022026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G666793759","display_name":null,"funder_award_id":"2020YFB1806608","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1904365287","https://openalex.org/W2022594971","https://openalex.org/W2053086240","https://openalex.org/W2062536119","https://openalex.org/W2095705004","https://openalex.org/W2107757493","https://openalex.org/W2125389028","https://openalex.org/W2135669535","https://openalex.org/W2139104935","https://openalex.org/W2166321009","https://openalex.org/W2286275639","https://openalex.org/W2527742544","https://openalex.org/W2544040670","https://openalex.org/W2593414223","https://openalex.org/W2738588019","https://openalex.org/W2742503793","https://openalex.org/W2783159364","https://openalex.org/W2786361328","https://openalex.org/W2804075771","https://openalex.org/W2902235256","https://openalex.org/W2962782499","https://openalex.org/W2962793481","https://openalex.org/W2962956060","https://openalex.org/W2963073614","https://openalex.org/W2980115697","https://openalex.org/W2982606491","https://openalex.org/W2982659485","https://openalex.org/W3023243379","https://openalex.org/W3047523230","https://openalex.org/W3111067891","https://openalex.org/W4231109964","https://openalex.org/W4234401411","https://openalex.org/W4302373953","https://openalex.org/W4317794926","https://openalex.org/W4321600745","https://openalex.org/W6640036494","https://openalex.org/W6674330103","https://openalex.org/W6678815747","https://openalex.org/W6717434760","https://openalex.org/W6769062696"],"related_works":["https://openalex.org/W1535080110","https://openalex.org/W306312984","https://openalex.org/W857189463","https://openalex.org/W4288094128","https://openalex.org/W2979675132","https://openalex.org/W2790520092","https://openalex.org/W2355663289","https://openalex.org/W4306309337","https://openalex.org/W2312786236","https://openalex.org/W2059045613"],"abstract_inverted_index":{"In":[0],"this":[1,82],"paper,":[2],"a":[3,13,40],"new":[4],"semi-supervised":[5],"deep":[6,143],"multiple-input":[7],"multiple-output":[8],"(MIMO)":[9],"detection":[10,146],"approach":[11],"using":[12,92],"cycle-consistent":[14],"generative":[15,48],"adversarial":[16,49],"network":[17],"(CycleGAN)":[18],"is":[19,87,109,116],"proposed":[20,85,124],"for":[21],"communication":[22],"systems":[23],"without":[24],"any":[25],"prior":[26],"knowledge":[27],"of":[28,43,75,132,163],"underlying":[29],"channel":[30],"distributions.":[31],"Specifically,":[32],"we":[33],"propose":[34],"the":[35,58,62,68,73,76,84,94,97,103,114,123,161,168],"CycleGAN":[36,125],"detector":[37,126],"by":[38],"constructing":[39],"bidirectional":[41],"loop":[42],"two":[44],"modified":[45],"least":[46],"squares":[47],"networks":[50],"(LS-GAN).":[51],"The":[52],"forward":[53],"LS-GAN":[54,64],"learns":[55,65],"to":[56,66,160],"model":[57],"transmission":[59],"process,":[60],"while":[61],"backward":[63],"detect":[67],"received":[69,79,98],"signals.":[70],"By":[71],"optimizing":[72],"cycle-consistency":[74],"transmitted":[77],"and":[78,90,96,112,137],"signals":[80],"through":[81],"loop,":[83],"method":[86],"trained":[88],"online":[89],"semi-supervisedly":[91],"both":[93,133],"pilots":[95],"payload":[99],"data.":[100],"As":[101],"such,":[102],"demand":[104],"on":[105],"labelled":[106],"training":[107],"dataset":[108],"considerably":[110],"controlled,":[111],"thus":[113],"overhead":[115],"effectively":[117],"reduced.":[118],"Numerical":[119],"results":[120],"show":[121],"that":[122],"achieves":[127],"better":[128],"performance":[129],"in":[130],"terms":[131],"bit":[134],"error-rate":[135],"(BER)":[136],"achievable":[138],"rate":[139],"than":[140],"existing":[141],"semi-blind":[142],"learning":[144],"(DL)":[145],"methods":[147],"as":[148,150],"well":[149],"conventional":[151],"linear":[152],"detectors,":[153],"especially":[154],"when":[155],"considering":[156],"signal":[157],"distortion":[158],"due":[159],"nonlinearity":[162],"power":[164],"amplifiers":[165],"(PA)":[166],"at":[167],"transmitter.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}