{"id":"https://openalex.org/W3033441636","doi":"https://doi.org/10.1109/tvt.2020.3000345","title":"Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes","display_name":"Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes","publication_year":2020,"publication_date":"2020-06-05","ids":{"openalex":"https://openalex.org/W3033441636","doi":"https://doi.org/10.1109/tvt.2020.3000345","mag":"3033441636"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2020.3000345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2020.3000345","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/A5056544625","display_name":"Hongfei Zhu","orcid":"https://orcid.org/0000-0001-5103-5746"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongfei Zhu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025886127","display_name":"Zhiwei Cao","orcid":"https://orcid.org/0000-0002-0341-8213"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Cao","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087531885","display_name":"Yuping Zhao","orcid":"https://orcid.org/0000-0003-1199-9318"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping Zhao","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668334","display_name":"Dou Li","orcid":"https://orcid.org/0000-0001-6475-0124"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou Li","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056544625"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.0043,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87304038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"69","issue":"8","first_page":"8725","last_page":"8738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9984999895095825,"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/T11130","display_name":"Coding theory and cryptography","score":0.987500011920929,"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/decoding-methods","display_name":"Decoding methods","score":0.8652074337005615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105674743652344},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.6547278761863708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.619767963886261},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5150482654571533},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.49886107444763184},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.48352885246276855},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46222934126853943},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.3305741846561432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28053516149520874},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.20449408888816833}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8652074337005615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105674743652344},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.6547278761863708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.619767963886261},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5150482654571533},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.49886107444763184},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.48352885246276855},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46222934126853943},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.3305741846561432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28053516149520874},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.20449408888816833}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2020.3000345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2020.3000345","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":[],"awards":[{"id":"https://openalex.org/G4102905838","display_name":null,"funder_award_id":"2018YFB1801403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W183754908","https://openalex.org/W1522301498","https://openalex.org/W1531728251","https://openalex.org/W1580334350","https://openalex.org/W1815076433","https://openalex.org/W1847088711","https://openalex.org/W1981735015","https://openalex.org/W2004692606","https://openalex.org/W2033234285","https://openalex.org/W2064675550","https://openalex.org/W2101642095","https://openalex.org/W2106045225","https://openalex.org/W2106411961","https://openalex.org/W2118263817","https://openalex.org/W2119112357","https://openalex.org/W2128765501","https://openalex.org/W2130942839","https://openalex.org/W2136771256","https://openalex.org/W2136922672","https://openalex.org/W2150498905","https://openalex.org/W2156938362","https://openalex.org/W2162931300","https://openalex.org/W2169876675","https://openalex.org/W2194775991","https://openalex.org/W2508457857","https://openalex.org/W2584943905","https://openalex.org/W2589785008","https://openalex.org/W2594892090","https://openalex.org/W2734408173","https://openalex.org/W2770861014","https://openalex.org/W2785851301","https://openalex.org/W2786545028","https://openalex.org/W2809638521","https://openalex.org/W2810871807","https://openalex.org/W2899771611","https://openalex.org/W2901561898","https://openalex.org/W2902605805","https://openalex.org/W2912322140","https://openalex.org/W2913340405","https://openalex.org/W2924995748","https://openalex.org/W2962992649","https://openalex.org/W2963120184","https://openalex.org/W2963408536","https://openalex.org/W2963810398","https://openalex.org/W2964121744","https://openalex.org/W2964232913","https://openalex.org/W2970217468","https://openalex.org/W4298201229","https://openalex.org/W6604653223","https://openalex.org/W6631190155","https://openalex.org/W6638545294","https://openalex.org/W6638824847","https://openalex.org/W6651601258","https://openalex.org/W6676179485","https://openalex.org/W6679436768","https://openalex.org/W6680201976","https://openalex.org/W6683965311","https://openalex.org/W6734634907","https://openalex.org/W6756040250","https://openalex.org/W6948022635"],"related_works":["https://openalex.org/W2127999627","https://openalex.org/W2534050232","https://openalex.org/W2060592722","https://openalex.org/W2155511529","https://openalex.org/W2383267581","https://openalex.org/W2372732308","https://openalex.org/W2367218571","https://openalex.org/W2145756861","https://openalex.org/W2152709992","https://openalex.org/W2136957628"],"abstract_inverted_index":{"Polar":[0],"codes":[1,8,116,236,241],"are":[2],"known":[3],"as":[4,25,53,237,239],"the":[5,70,99,105,133,146,172,179,188,194,204,209,213,231,244],"first":[6,84],"capacity-achievable":[7],"with":[9,201],"low":[10,45],"encoding":[11],"and":[12,44,66,103,155,174,176],"decoding":[13,17,22,32,143,216],"complexity.":[14],"The":[15,94],"sequential":[16],"nature":[18],"of":[19,63,74,108,182,225,230,246],"traditional":[20,134,214],"polar":[21,92,115,129,235],"algorithms":[23],"such":[24],"successive":[26],"cancellation":[27],"(SC)":[28],"results":[29,191],"in":[30],"high":[31,42],"latency,":[33],"which":[34,137],"is":[35,76,184],"not":[36,78],"suitable":[37],"for":[38,49,91,128,142,153,159],"services":[39],"that":[40,178,193],"require":[41],"reliability":[43],"latency.":[46],"Deep":[47],"learning":[48,88,166],"decoding,":[50],"referred":[51],"to":[52,113,169,203,233],"neural":[54,124,140],"network":[55,125,141],"decoder":[56,126],"(NND),":[57],"has":[58],"shown":[59],"strong":[60],"competitiveness":[61],"because":[62],"its":[64,198],"non-iterative":[65],"full-parallel":[67],"feature.":[68],"Whereas,":[69],"bit-error-rate":[71],"(BER)":[72],"performance":[73],"NND":[75,157],"still":[77],"satisfactory.":[79],"In":[80,111,207],"this":[81],"paper,":[82],"we":[83,119],"propose":[85,121],"a":[86,122,150,156,163],"residual":[87,123],"denoiser":[89,173],"(RLD)":[90],"codes.":[93,130],"RLD":[95,151],"can":[96],"remarkably":[97],"improve":[98],"signal-to-noise":[100],"ratio":[101],"(SNR)":[102],"reduce":[104],"symbol-error-rate":[106],"(SER)":[107],"received":[109,144],"symbols.":[110],"order":[112],"decode":[114],"more":[117,185,220],"efficiently,":[118],"subsequently":[120],"(RNND)":[127],"Different":[131],"from":[132],"pure-NND":[135],"(PNND)":[136],"directly":[138],"uses":[139],"symbols,":[145],"proposed":[147,195,248],"RNND":[148,196,232],"concatenates":[149],"used":[152,158],"denoising":[154,180],"decoding.":[160],"We":[161],"provide":[162],"novel":[164],"multi-task":[165],"(MTL)":[167],"strategy":[168],"jointly":[170],"optimize":[171],"decoder,":[175],"find":[177],"gain":[181],"Joint-RLD":[183],"significant":[186],"than":[187,221],"Independent-RLD.":[189],"Numerical":[190],"show":[192],"outperforms":[197],"counterpart":[199],"PNND":[200],"regard":[202],"BER":[205],"performance.":[206],"addition,":[208],"optimal":[210],"RNND(MLP-MLP)":[211],"approaches":[212],"SC":[215],"performance,":[217],"while":[218],"saving":[219],"one":[222],"hundred":[223],"times":[224],"computation":[226],"time.":[227],"Eventually,":[228],"scalability":[229],"longer":[234],"well":[238],"LDPC":[240],"further":[242],"demonstrates":[243],"superiority":[245],"our":[247],"scheme.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}