{"id":"https://openalex.org/W2960028424","doi":"https://doi.org/10.1109/meco.2019.8760172","title":"Importance Sampling Based Software Kit for LLR BP Decoding Simulation","display_name":"Importance Sampling Based Software Kit for LLR BP Decoding Simulation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2960028424","doi":"https://doi.org/10.1109/meco.2019.8760172","mag":"2960028424"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2019.8760172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2019.8760172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","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/A5051636020","display_name":"Evgeny Likhobabin","orcid":"https://orcid.org/0000-0003-1227-2575"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Likhobabin","raw_affiliation_strings":["Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063367224","display_name":"Igor I Volkov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor Volkov","raw_affiliation_strings":["Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061047670","display_name":"Konstantin Zavertkin","orcid":"https://orcid.org/0000-0002-3871-9470"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Konstantin Zavertkin","raw_affiliation_strings":["Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011131411","display_name":"Aleksei Ovinnikov","orcid":"https://orcid.org/0000-0002-3178-7593"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksei Ovinnikov","raw_affiliation_strings":["Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018280764","display_name":"Vladimir Vityazev","orcid":"https://orcid.org/0000-0003-3558-6008"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Vityazev","raw_affiliation_strings":["Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Foundations of Radio Engineering, RSREU, Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210149385"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06033093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"4"},"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":0.996399998664856,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7804157733917236},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.7586096525192261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172878980636597},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.600884735584259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5866940021514893},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5411758422851562},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5303928256034851},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.5279411673545837},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5141544938087463},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.5075472593307495},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45548951625823975},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.455150842666626},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4450254440307617},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4218304455280304},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20026716589927673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15522298216819763},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10762065649032593},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.06724542379379272}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7804157733917236},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.7586096525192261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172878980636597},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.600884735584259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5866940021514893},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5411758422851562},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5303928256034851},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.5279411673545837},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5141544938087463},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.5075472593307495},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45548951625823975},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.455150842666626},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4450254440307617},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4218304455280304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20026716589927673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15522298216819763},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10762065649032593},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.06724542379379272},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2019.8760172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2019.8760172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1999079161","https://openalex.org/W2001732758","https://openalex.org/W2106882512","https://openalex.org/W2126128194","https://openalex.org/W2128765501","https://openalex.org/W2147229249","https://openalex.org/W2154663979","https://openalex.org/W2784274080","https://openalex.org/W4300188436"],"related_works":["https://openalex.org/W2903058006","https://openalex.org/W2011305240","https://openalex.org/W2885795561","https://openalex.org/W2336199159","https://openalex.org/W2572298685","https://openalex.org/W4299825984","https://openalex.org/W2030180258","https://openalex.org/W2139164285","https://openalex.org/W4303096056","https://openalex.org/W2991551317"],"abstract_inverted_index":{"This":[0],"paper":[1],"outlines":[2],"a":[3],"method":[4,56],"for":[5,12,39,65,84],"estimation":[6,67,81],"of":[7,68,78],"an":[8,66],"error":[9,70,79],"floor":[10,80],"parameters":[11],"different":[13],"LDPC":[14,86],"codes":[15,94],"based":[16,28],"on":[17,29],"importance":[18],"sampling":[19],"technique.":[20],"The":[21],"traditional":[22],"approach":[23],"to":[24,58],"such":[25,43],"estimations":[26],"is":[27],"Monte":[30],"Carlo":[31],"technique":[32],"and":[33,98],"has":[34],"high":[35,74],"computational":[36,62],"complexity,":[37],"especially":[38],"near-optimal":[40],"decoding":[41],"algorithms":[42],"as":[44],"logarithmic-likelihood":[45],"ratio":[46],"belief":[47],"propagation":[48],"algorithm.":[49],"It":[50],"was":[51],"shown":[52],"that":[53],"the":[54,61,73],"proposed":[55],"allows":[57],"significantly":[59],"reduce":[60],"cost":[63],"required":[64],"frame":[69],"probability":[71],"in":[72],"SNR":[75],"region.":[76],"Results":[77],"are":[82],"presented":[83],"three":[85],"codes:":[87],"Margulis":[88],"(2640,":[89],"1320),":[90],"two":[91],"quasi":[92],"cyclic":[93],"QC":[95,99],"(22200,":[96,100],"5550)":[97],"7400).":[101]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}