{"id":"https://openalex.org/W4312978248","doi":"https://doi.org/10.1109/lcomm.2022.3223114","title":"Model-Driven Deep Learning ADMM Decoder for Irregular Binary LDPC Codes","display_name":"Model-Driven Deep Learning ADMM Decoder for Irregular Binary LDPC Codes","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4312978248","doi":"https://doi.org/10.1109/lcomm.2022.3223114"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2022.3223114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3223114","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 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/A5075445720","display_name":"Xiaomeng Guo","orcid":"https://orcid.org/0000-0001-9799-1899"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaomeng Guo","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9799-1899","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064271996","display_name":"Tsung\u2010Hui Chang","orcid":"https://orcid.org/0000-0003-1349-2764"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsung-Hui Chang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1349-2764","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635294","display_name":"Yongchao Wang","orcid":"https://orcid.org/0000-0002-0640-4140"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0640-4140","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075445720"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.1414,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79854354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":"2","first_page":"571","last_page":"575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"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":1.0,"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":0.9879999756813049,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9850999712944031,"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/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.8351272344589233},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7361379861831665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7000536322593689},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6849542856216431},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6127057671546936},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5980902910232544},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.5429894328117371},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5142843127250671},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5101909637451172},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41316521167755127},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3537686765193939},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33628422021865845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20841217041015625},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08445844054222107}],"concepts":[{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.8351272344589233},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7361379861831665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000536322593689},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6849542856216431},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6127057671546936},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5980902910232544},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.5429894328117371},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5142843127250671},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5101909637451172},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41316521167755127},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3537686765193939},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33628422021865845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20841217041015625},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08445844054222107},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2022.3223114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3223114","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1117740108","display_name":null,"funder_award_id":"62271371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2597228035","display_name":null,"funder_award_id":"62001349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G326261707","display_name":null,"funder_award_id":"62201425","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4415435663","display_name":null,"funder_award_id":"62071409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G940306304","display_name":null,"funder_award_id":"61731018","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W139795252","https://openalex.org/W1522301498","https://openalex.org/W1578113668","https://openalex.org/W1864365761","https://openalex.org/W2068009226","https://openalex.org/W2068582919","https://openalex.org/W2160400221","https://openalex.org/W2552793278","https://openalex.org/W2902719825","https://openalex.org/W2962732914","https://openalex.org/W2998795235","https://openalex.org/W3007142046","https://openalex.org/W3136518070","https://openalex.org/W4210508532","https://openalex.org/W4214717370","https://openalex.org/W4256264271","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2479327835","https://openalex.org/W4205295586","https://openalex.org/W2110972223","https://openalex.org/W2163036861","https://openalex.org/W2090054304","https://openalex.org/W98604564","https://openalex.org/W2087343834","https://openalex.org/W2123950685","https://openalex.org/W1969741585","https://openalex.org/W2121325423"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3,41,46,69],"model-driven":[4,70,122],"deep":[5,64],"learning":[6,80],"(DL)":[7],"decoder":[8,124],"for":[9,98,113,125],"irregular":[10,126],"binary":[11,127],"low-density":[12],"parity-check":[13],"(LDPC)":[14],"codes":[15,129],"is":[16,130],"proposed":[17,121],"via":[18],"the":[19,35,63,77,95,99,120,135],"alternating":[20],"direction":[21],"method":[22],"of":[23,79],"multipliers":[24],"(ADMM)":[25],"technique.":[26],"Our":[27],"technical":[28],"contributions":[29],"three":[30],"twofold:":[31],"1)":[32],"we":[33,61,82],"formulate":[34],"maximum":[36],"likelihood":[37],"decoding":[38],"problem":[39],"as":[40],"non-convex":[42],"quadratic":[43],"program":[44],"with":[45,134],"new":[47],"penalty":[48],"term":[49],"and":[50,73,103],"present":[51],"an":[52,84],"ADMM":[53],"based":[54],"decoder;":[55,72],"2)":[56],"to":[57,67,75,90],"alleviate":[58],"hyper-parameter":[59],"tuning,":[60],"employ":[62],"unfolding":[65],"strategy":[66,86],"derive":[68],"ADMM-DL":[71,123],"3)":[74],"save":[76],"number":[78],"parameters,":[81],"propose":[83],"initialization":[85],"which":[87],"can":[88],"apply":[89],"different":[91],"codeword":[92],"structures.":[93],"Specifically,":[94],"designing":[96],"procedure":[97],"DL":[100,104],"network":[101,105],"structure":[102],"parameters":[106],"training":[107],"algorithm":[108],"are":[109],"presented":[110],"in":[111,132],"detail":[112],"efficient":[114],"implementation.":[115],"Numerical":[116],"results":[117],"demonstrate":[118],"that":[119],"LDPC":[128],"competitive":[131],"comparison":[133],"state-of-the-arts.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
