{"id":"https://openalex.org/W7130573453","doi":"https://doi.org/10.1109/ictc66702.2025.11388534","title":"Adaptive Decoding of Turbo Product Codes Using Soft Information","display_name":"Adaptive Decoding of Turbo Product Codes Using Soft Information","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130573453","doi":"https://doi.org/10.1109/ictc66702.2025.11388534"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11388534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5126440688","display_name":"Jae-Yong Son","orcid":null},"institutions":[{"id":"https://openalex.org/I10654025","display_name":"SK Group (United States)","ror":"https://ror.org/00qajw440","country_code":"US","type":"company","lineage":["https://openalex.org/I10654025","https://openalex.org/I134353371"]},{"id":"https://openalex.org/I134353371","display_name":"SK Group (South Korea)","ror":"https://ror.org/03696td91","country_code":"KR","type":"company","lineage":["https://openalex.org/I134353371"]}],"countries":["KR","US"],"is_corresponding":true,"raw_author_name":"Jae-Yong Son","raw_affiliation_strings":["SK Hynix,Seongnam,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SK Hynix,Seongnam,Republic of Korea","institution_ids":["https://openalex.org/I10654025","https://openalex.org/I134353371"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5126440688"],"corresponding_institution_ids":["https://openalex.org/I10654025","https://openalex.org/I134353371"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.7796000242233276,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.7796000242233276,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.08959999680519104,"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/T11269","display_name":"Algorithms and Data Compression","score":0.028599999845027924,"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":0.8413000106811523},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.5521000027656555},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.444599986076355},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.42419999837875366},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.414900004863739},{"id":"https://openalex.org/keywords/turbo","display_name":"Turbo","score":0.38370001316070557},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3587000072002411}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8413000106811523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6865000128746033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559499979019165},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.5521000027656555},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.42419999837875366},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.414900004863739},{"id":"https://openalex.org/C2776240298","wikidata":"https://www.wikidata.org/wiki/Q1138513","display_name":"Turbo","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3375999927520752},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11388534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","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":12,"referenced_works":["https://openalex.org/W1497821700","https://openalex.org/W1977642329","https://openalex.org/W2023355697","https://openalex.org/W2027432514","https://openalex.org/W2162442687","https://openalex.org/W2167657277","https://openalex.org/W2333439785","https://openalex.org/W2571090250","https://openalex.org/W2800583381","https://openalex.org/W2895984074","https://openalex.org/W2993383518","https://openalex.org/W3036367586"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"two":[3],"adaptive":[4],"Chase":[5,39,102,164],"decoding":[6,23,153,187,196,202],"algorithms":[7,145,172],"for":[8,46],"turbo":[9],"product":[10],"codes":[11],"(TPCs)":[12],"in":[13,37,100],"order":[14],"to":[15,29,180],"improve":[16],"the":[17,31,38,43,57,60,66,83,91,101,115,130,136,150,170,194,198,215],"trade-off":[18],"between":[19],"error-correcting":[20],"performance":[21,179,221],"and":[22,90,161],"complexity.":[24,188],"The":[25,52,106],"key":[26],"idea":[27],"is":[28,74,80,87,104,124,133,141,204,212],"reduce":[30],"number":[32,92,137,200],"of":[33,59,68,93,117,138,201],"test":[34],"sequences":[35],"(TSs)":[36],"algorithm":[40,55,103,108],"by":[41,207,214],"analyzing":[42],"soft":[44,61],"information":[45],"each":[47],"row":[48,70],"or":[49,71],"column":[50,72],"codeword.":[51],"first":[53],"proposed":[54,171],"utilizes":[56],"entropy":[58,67],"decoder":[62,84,118,217],"input":[63,85,119],"vector:":[64],"if":[65],"a":[69,76,110,126],"vector":[73,86],"below":[75,125],"predefined":[77],"threshold,":[78],"it":[79],"assumed":[81],"that":[82,169],"sufficiently":[88,134],"reliable,":[89],"least":[94],"reliable":[95],"bit":[96,175],"(LRB)":[97],"positions":[98,140],"used":[99],"reduced.":[105,143],"second":[107],"uses":[109],"confidence-ratio":[111],"metric,":[112],"defined":[113],"as":[114],"proportion":[116],"values":[120],"whose":[121],"absolute":[122],"magnitude":[123],"certain":[127],"threshold.":[128],"If":[129],"confidence":[131],"ratio":[132],"low,":[135],"LRB":[139],"similarly":[142],"Both":[144],"can":[146],"be":[147],"combined":[148,192],"with":[149,193],"existing":[151],"syndrome-based":[152,195,216],"algorithm,":[154,197],"where":[155],"error-free":[156],"hard-decision":[157],"vectors":[158],"are":[159],"detected":[160],"excluded":[162],"from":[163],"decoding.":[165],"Simulation":[166],"results":[167],"show":[168],"achieve":[173],"comparable":[174],"error":[176],"rate":[177],"(BER)":[178],"conventional":[181],"Chase-based":[182],"TPCs":[183],"while":[184],"fairly":[185],"reducing":[186],"In":[189],"particular,":[190],"when":[191],"total":[199],"attempts":[203],"further":[205],"reduced":[206],"approximately":[208],"10%":[209],"beyond":[210],"what":[211],"achieved":[213],"alone,":[218],"without":[219],"any":[220],"degradation.":[222]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-20T00:00:00"}
