{"id":"https://openalex.org/W3021277865","doi":"https://doi.org/10.1109/6gsummit49458.2020.9083899","title":"Notice of Violation of IEEE Publication Principles: Channel Decoding Based on Complex-valued Convolutional Neural Networks","display_name":"Notice of Violation of IEEE Publication Principles: Channel Decoding Based on Complex-valued Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3021277865","doi":"https://doi.org/10.1109/6gsummit49458.2020.9083899","mag":"3021277865"},"language":"en","primary_location":{"id":"doi:10.1109/6gsummit49458.2020.9083899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gsummit49458.2020.9083899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","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/A5100371842","display_name":"Lun Li","orcid":"https://orcid.org/0000-0002-6700-7835"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lun Li","raw_affiliation_strings":["ZTE Corporation, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, Shen Zhen, China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110257299","display_name":"Guanghui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Yu","raw_affiliation_strings":["ZTE Corporation, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, Shen Zhen, China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001215846","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0003-3898-3105"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":["ZTE Corporation, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, Shen Zhen, China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065472681","display_name":"Liguang Li","orcid":"https://orcid.org/0000-0003-1774-7998"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguang Li","raw_affiliation_strings":["ZTE Corporation, Shen Zhen, China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, Shen Zhen, China","institution_ids":["https://openalex.org/I4210098582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100371842"],"corresponding_institution_ids":["https://openalex.org/I4210098582"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04288915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.8926171064376831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.683934211730957},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6430990695953369},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6307162046432495},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5384829044342041},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4582800269126892},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3523804545402527},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3436475694179535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3408694863319397},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2941157817840576},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07393541932106018}],"concepts":[{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.8926171064376831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683934211730957},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6430990695953369},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6307162046432495},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5384829044342041},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4582800269126892},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3523804545402527},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3436475694179535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3408694863319397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2941157817840576},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07393541932106018},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/6gsummit49458.2020.9083899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gsummit49458.2020.9083899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","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":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1677182931","https://openalex.org/W1976433357","https://openalex.org/W2083182233","https://openalex.org/W2098477387","https://openalex.org/W2128765501","https://openalex.org/W2130942839","https://openalex.org/W2135490953","https://openalex.org/W2159376801","https://openalex.org/W2163605009","https://openalex.org/W2169732368","https://openalex.org/W2170738062","https://openalex.org/W2584943905","https://openalex.org/W2589785008","https://openalex.org/W2734408173","https://openalex.org/W2734514281","https://openalex.org/W2789848366","https://openalex.org/W2887819684","https://openalex.org/W2889741439","https://openalex.org/W2963190722","https://openalex.org/W2963408536","https://openalex.org/W2963889719","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6674855086","https://openalex.org/W6679436768","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W4400794747","https://openalex.org/W4250645680","https://openalex.org/W4300782058","https://openalex.org/W2086339586","https://openalex.org/W2394387726","https://openalex.org/W2378724474"],"abstract_inverted_index":{"Notice":[0],"of":[1,3,29,45,50,68,78,114,175,182,208],"Violation":[2],"IEEE":[4,116],"Publication":[5,70],"Principles<br>BR>":[6],"\u201cChannel":[7],"Decoding":[8,96],"Based":[9],"on":[10,119],"Complex-valued":[11],"Convolutional":[12,98],"Neural":[13,99],"Networks\u201d":[14,100],"<br>by":[15],"Lun":[16],"Li,":[17],"Guanghui":[18],"Yu,":[19],"Jin":[20],"Xu,":[21],"and":[22,42,48,107,169,205],"Liguang":[23],"Li":[24],"<br>":[25,101,110],"in":[26,66,111,131,158],"the":[27,30,46,81,112,115,128,159,165,176,180,186,189,209],"Proceedings":[28,113],"2nd":[31],"6G":[32],"Wireless":[33],"Summit":[34],"(6G":[35],"SUMMIT),":[36],"March":[37],"2020":[38],"<br><br>":[39,72,90,124],"After":[40],"careful":[41],"considered":[43],"review":[44],"content":[47],"authorship":[49],"this":[51,59],"paper":[52,60],"by":[53,102,127],"a":[54,136,142,149,171],"duly":[55],"constituted":[56],"expert":[57],"committee,":[58],"has":[61],"been":[62],"found":[63],"to":[64,203],"be":[65],"violation":[67],"IEEE\u2019s":[69],"Principles.":[71],"This":[73],"article":[74,82],"contains":[75],"significant":[76],"portions":[77],"text":[79],"from":[80],"cited":[83],"below":[84],"that":[85],"were":[86],"paraphrased":[87],"without":[88],"attribution.":[89],"\u201cExploiting":[91],"Noise":[92],"Correlation":[93],"for":[94,154],"Channel":[95],"with":[97,148],"Fei":[103],"Liang,":[104],"Cong":[105],"Shen,":[106],"Feng":[108],"Wu":[109],"International":[117],"Conference":[118],"Communications":[120],"(ICC),":[121],"May":[122],"2018":[123],"<br/>":[125],"Inspired":[126],"recent":[129],"outcomes":[130],"deep":[132],"learning,":[133],"we":[134],"propose":[135],"novel":[137],"decoding":[138,195],"architecture":[139],"which":[140],"concatenates":[141],"complex-valued":[143],"convolutional":[144],"neural":[145],"network":[146],"(CCNN)":[147],"belief":[150],"propagation":[151],"(BP)":[152],"decoder":[153,191],"combating":[155],"correlated":[156],"noise":[157,167,184],"channel.":[160],"The":[161],"CCNN":[162],"can":[163,192],"exploit":[164],"complex":[166],"correlation":[168],"yield":[170],"more":[172],"accurate":[173],"estimation":[174],"channel":[177,183],"noise.":[178],"Depressing":[179],"influence":[181],"via":[185],"proposed":[187,210],"architecture,":[188],"BP":[190],"obtain":[193],"better":[194],"performances.":[196],"Furthermore,":[197],"extensive":[198],"experiments":[199],"are":[200],"carried":[201],"out":[202],"analyze":[204],"verify":[206],"performances":[207],"framework.":[211]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}