{"id":"https://openalex.org/W4221116666","doi":"https://doi.org/10.3390/e24030427","title":"Controversial Variable Node Selection-Based Adaptive Belief Propagation Decoding Algorithm Using Bit Flipping Check for JSCC Systems","display_name":"Controversial Variable Node Selection-Based Adaptive Belief Propagation Decoding Algorithm Using Bit Flipping Check for JSCC Systems","publication_year":2022,"publication_date":"2022-03-19","ids":{"openalex":"https://openalex.org/W4221116666","doi":"https://doi.org/10.3390/e24030427","pmid":"https://pubmed.ncbi.nlm.nih.gov/35327937"},"language":"en","primary_location":{"id":"doi:10.3390/e24030427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24030427","pdf_url":"https://www.mdpi.com/1099-4300/24/3/427/pdf?version=1647846184","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/3/427/pdf?version=1647846184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079347067","display_name":"Hao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin 300072, China"],"raw_orcid":"https://orcid.org/0000-0003-3175-887X","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441591","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-2601-3198"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin 300072, China"],"raw_orcid":"https://orcid.org/0000-0002-2601-3198","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087499938","display_name":"Yizhe Jing","orcid":"https://orcid.org/0000-0002-6604-3789"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhe Jing","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin 300072, China"],"raw_orcid":"https://orcid.org/0000-0002-6604-3789","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683300","display_name":"Yanyan Chang","orcid":"https://orcid.org/0000-0002-4403-9877"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Chang","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin 300072, China"],"raw_orcid":"https://orcid.org/0000-0002-4403-9877","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416804","display_name":"Yanyan Liu","orcid":"https://orcid.org/0000-0001-8488-5480"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanyan Liu","raw_affiliation_strings":["College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300071, China"],"raw_orcid":"https://orcid.org/0000-0001-8488-5480","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100416804"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03271419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"3","first_page":"427","last_page":"427"},"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":0.9997000098228455,"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":0.9993000030517578,"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":0.8126920461654663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7673418521881104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5807359218597412},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5470165610313416},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.5094557404518127},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4937487542629242},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.4537298381328583},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4440149664878845},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4287000298500061},{"id":"https://openalex.org/keywords/parity-check-matrix","display_name":"Parity-check matrix","score":0.41591763496398926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2772050201892853},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.2534971833229065},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.1506405770778656},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11947998404502869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10624715685844421},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07911831140518188}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8126920461654663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7673418521881104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5807359218597412},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5470165610313416},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.5094557404518127},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4937487542629242},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.4537298381328583},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4440149664878845},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4287000298500061},{"id":"https://openalex.org/C95925971","wikidata":"https://www.wikidata.org/wiki/Q3100414","display_name":"Parity-check matrix","level":4,"score":0.41591763496398926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2772050201892853},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2534971833229065},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.1506405770778656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11947998404502869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10624715685844421},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07911831140518188}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24030427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24030427","pdf_url":"https://www.mdpi.com/1099-4300/24/3/427/pdf?version=1647846184","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:35327937","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35327937","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c4af48005c1a4a70ba9b92aa7beab5cb","is_oa":true,"landing_page_url":"https://doaj.org/article/c4af48005c1a4a70ba9b92aa7beab5cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 3, p 427 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/3/427/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24030427","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 3; Pages: 427","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8947198","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8947198","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24030427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24030427","pdf_url":"https://www.mdpi.com/1099-4300/24/3/427/pdf?version=1647846184","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221116666.pdf","grobid_xml":"https://content.openalex.org/works/W4221116666.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2051888076","https://openalex.org/W2075850503","https://openalex.org/W2077814477","https://openalex.org/W2097440336","https://openalex.org/W2128765501","https://openalex.org/W2258909494","https://openalex.org/W2766906171","https://openalex.org/W2904899062","https://openalex.org/W2913591478","https://openalex.org/W2941498034","https://openalex.org/W2963603795","https://openalex.org/W2964068486","https://openalex.org/W2990053292","https://openalex.org/W3014954973","https://openalex.org/W3017310612","https://openalex.org/W3034663452","https://openalex.org/W3102491039","https://openalex.org/W3109006426","https://openalex.org/W3170982283","https://openalex.org/W3175520170","https://openalex.org/W6663263476","https://openalex.org/W6669731493","https://openalex.org/W6770565309"],"related_works":["https://openalex.org/W2565077356","https://openalex.org/W3080746295","https://openalex.org/W2067707844","https://openalex.org/W2159021452","https://openalex.org/W3002209947","https://openalex.org/W3112330636","https://openalex.org/W2109390513","https://openalex.org/W4287587407","https://openalex.org/W3107899157","https://openalex.org/W4285709617"],"abstract_inverted_index":{"An":[0],"end-to-end":[1],"joint":[2,41],"source-channel":[3,42],"(JSC)":[4],"encoding":[5],"matrix":[6,55],"and":[7,20,37,60,86,91,105,129,151,160,183,200,231,240],"a":[8,215],"JSC":[9,143,167],"decoding":[10,29,119,144,177,212],"scheme":[11,45,145],"using":[12],"the":[13,35,40,73,88,94,97,102,113,133,136,141,148,156,164,173,210,224,227],"proposed":[14,77,109,142,174,228],"bit":[15],"flipping":[16],"check":[17],"(BFC)":[18],"algorithm":[19,30,79,111,150,153,179,188,213,230,233],"controversial":[21,127],"variable":[22,123],"node":[23],"selection-based":[24],"adaptive":[25],"belief":[26],"propagation":[27],"(CVNS-ABP)":[28],"are":[31],"presented":[32],"to":[33,84,100,132,162],"improve":[34,163],"efficiency":[36],"reliability":[38],"of":[39,63,66,96,115,135,158,166,203,237],"coding":[43,54,62,74],"(JSCC)":[44],"based":[46,146],"on":[47,118,147],"double":[48],"Reed-Solomon":[49],"(RS)":[50],"codes.":[51],"The":[52,76,108],"constructed":[53],"can":[56,154,195],"realize":[57,101,155],"source":[58,98,159],"compression":[59],"channel":[61,81,161],"multiple":[64],"sets":[65],"information":[67,83],"data":[68],"simultaneously,":[69],"which":[70],"significantly":[71],"improves":[72],"efficiency.":[75],"BFC":[78,149],"uses":[80,93],"soft":[82],"select":[85],"flip":[87],"unreliable":[89],"bits":[90,117],"then":[92],"redundancy":[95],"block":[99],"error":[103,106,116,122,217],"verification":[104],"correction.":[107],"CVNS-ABP":[110,152,229],"reduces":[112],"influence":[114],"by":[120],"selecting":[121],"nodes":[124],"(VNs)":[125],"from":[126],"VNs":[128],"adding":[130],"them":[131],"sparsity":[134],"parity-check":[137],"matrix.":[138],"In":[139],"addition,":[140],"connection":[157],"performance":[165,235],"decoding.":[168],"Simulation":[169],"results":[170],"show":[171],"that":[172],"BFC-based":[175,184],"hard-decision":[176],"(BFC-HDD)":[178],"(\u03b6":[180,189],"=":[181,190,193,220,246],"1)":[182],"low-complexity":[185],"chase":[186],"(BFC-LCC)":[187],"1,":[191],"\u03b7":[192],"3)":[194],"achieve":[196,234],"about":[197],"0.23":[198,241],"dB":[199,202,239],"0.46":[201],"signal-to-noise":[204],"ratio":[205],"(SNR)":[206],"defined":[207],"gain":[208],"over":[209],"prior-art":[211],"at":[214,244],"frame":[216],"rate":[218],"(FER)":[219],"10-1.":[221],"Compared":[222],"with":[223],"ABP":[225],"algorithm,":[226],"BFC-CVNS-ABP":[232],"gains":[236],"0.18":[238],"dB,":[242],"respectively,":[243],"FER":[245],"10-3.":[247]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
