{"id":"https://openalex.org/W2910719637","doi":"https://doi.org/10.1109/apccas.2018.8605692","title":"LDPC Decoder Based on Markov Chain Monte Carlo Method","display_name":"LDPC Decoder Based on Markov Chain Monte Carlo Method","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910719637","doi":"https://doi.org/10.1109/apccas.2018.8605692","mag":"2910719637"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2018.8605692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2018.8605692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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/A5017451514","display_name":"Jiejun Jin","orcid":"https://orcid.org/0000-0003-4504-0201"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiejun Jin","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Liang","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063015876","display_name":"Yunhao Xu","orcid":"https://orcid.org/0009-0002-6675-7316"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunhao Xu","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027587940","display_name":"Zaichen Zhang","orcid":"https://orcid.org/0000-0003-4301-8713"},"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":"Zaichen Zhang","raw_affiliation_strings":["Quantum Information Center of Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantum Information Center of Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072916702","display_name":"Xiaohu You","orcid":"https://orcid.org/0000-0002-0809-8511"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Xiaohu You","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuan Zhang","raw_affiliation_strings":["Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19621153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"222"},"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":0.9944000244140625,"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/T12029","display_name":"DNA and Biological Computing","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6998341083526611},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6014454364776611},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5794747471809387},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5082554221153259},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.5002231597900391},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42450448870658875},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.34734880924224854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31046611070632935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16005516052246094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0893230140209198},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06637680530548096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998341083526611},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6014454364776611},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5794747471809387},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5082554221153259},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.5002231597900391},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42450448870658875},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.34734880924224854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31046611070632935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16005516052246094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0893230140209198},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06637680530548096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2018.8605692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2018.8605692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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":13,"referenced_works":["https://openalex.org/W1988993628","https://openalex.org/W2050308627","https://openalex.org/W2112059973","https://openalex.org/W2115410024","https://openalex.org/W2127342417","https://openalex.org/W2127370988","https://openalex.org/W2128765501","https://openalex.org/W2134750166","https://openalex.org/W2171494930","https://openalex.org/W2172150855","https://openalex.org/W2173776306","https://openalex.org/W2963287050","https://openalex.org/W3198160809"],"related_works":["https://openalex.org/W2903058006","https://openalex.org/W2102374550","https://openalex.org/W2047069332","https://openalex.org/W2352157218","https://openalex.org/W4213381250","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"Low-density":[0],"parity":[1],"check":[2],"(LDPC)":[3],"codes":[4,39,61,101],"have":[5],"attracted":[6],"the":[7,29,44,63,87,91,108,126],"attention":[8],"of":[9,13,43,113,125],"a":[10,24,55],"large":[11,120],"number":[12],"researchers":[14],"with":[15],"its":[16],"near-Shannon":[17],"performance":[18],"and":[19,70,77],"easy":[20],"implementation":[21],"features.":[22],"As":[23],"data":[25],"coding":[26],"scheme":[27],"under":[28],"5G":[30],"scenario,":[31],"how":[32],"to":[33],"achieve":[34,80],"efficient":[35],"encoding/decoding":[36],"for":[37,59],"LDPC":[38,60],"has":[40],"become":[41],"one":[42],"important":[45],"research":[46],"topics.":[47],"Under":[48],"this":[49,51,133],"condition,":[50],"paper":[52],"1)":[53],"proposes":[54],"novel":[56],"decoding":[57,96],"algorithm":[58],"using":[62],"Markov":[64],"Chain":[65],"Monte":[66],"Carlo":[67],"(MCMC)":[68],"method":[69,97,128],"2)":[71],"introduces":[72],"two":[73],"improved":[74,88],"versions,":[75],"MCMC-S":[76],"MCMC-L,":[78],"which":[79],"better":[81],"results.":[82],"Simulation":[83],"figures":[84],"show":[85],"that":[86],"methods":[89],"outperform":[90],"traditional":[92],"belief":[93],"propagation":[94],"(BP)":[95],"in":[98,132],"relatively":[99],"short":[100],"by":[102],"more":[103],"than":[104],"1":[105],"dB":[106],"at":[107],"bit":[109],"error":[110],"rate":[111],"(BER)":[112],"10":[114],"<sup":[115],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-3</sup>":[117],".":[118],"Very":[119],"scale":[121],"integration":[122],"(VLSI)":[123],"architecture":[124],"proposed":[127],"is":[129],"also":[130],"given":[131],"paper.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}