{"id":"https://openalex.org/W2603218281","doi":"https://doi.org/10.1109/icce.2017.7889308","title":"Analysis on decoding error rate of systematic network coding","display_name":"Analysis on decoding error rate of systematic network coding","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2603218281","doi":"https://doi.org/10.1109/icce.2017.7889308","mag":"2603218281"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2017.7889308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Consumer Electronics (ICCE)","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/A5032094381","display_name":"Minhae Kwon","orcid":"https://orcid.org/0000-0002-8807-3719"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Minhae Kwon","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083745658","display_name":"Hyunggon Park","orcid":"https://orcid.org/0000-0002-5079-1504"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunggon Park","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032094381"],"corresponding_institution_ids":["https://openalex.org/I138925566"],"apc_list":null,"apc_paid":null,"fwci":1.2432,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81761399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9990000128746033,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9990000128746033,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.978600025177002,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9617000222206116,"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":0.8194993734359741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7692567110061646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5608108043670654},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5556921362876892},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5382815003395081},{"id":"https://openalex.org/keywords/binary-erasure-channel","display_name":"Binary erasure channel","score":0.5302103757858276},{"id":"https://openalex.org/keywords/code-rate","display_name":"Code rate","score":0.49195048213005066},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.48198574781417847},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4807007908821106},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4670606553554535},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.46083101630210876},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.4529683291912079},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.4376101493835449},{"id":"https://openalex.org/keywords/forward-error-correction","display_name":"Forward error correction","score":0.41502317786216736},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40068569779396057},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3814765214920044},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3735356628894806},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.2838444113731384},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.20103099942207336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16736054420471191},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16183170676231384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09062185883522034}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8194993734359741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692567110061646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5608108043670654},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5556921362876892},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5382815003395081},{"id":"https://openalex.org/C149862233","wikidata":"https://www.wikidata.org/wiki/Q864142","display_name":"Binary erasure channel","level":4,"score":0.5302103757858276},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.49195048213005066},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.48198574781417847},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4807007908821106},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4670606553554535},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.46083101630210876},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.4529683291912079},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.4376101493835449},{"id":"https://openalex.org/C202932441","wikidata":"https://www.wikidata.org/wiki/Q55611017","display_name":"Forward error correction","level":3,"score":0.41502317786216736},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40068569779396057},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3814765214920044},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3735356628894806},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.2838444113731384},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.20103099942207336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16736054420471191},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16183170676231384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09062185883522034},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2017.7889308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Consumer Electronics (ICCE)","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":2,"referenced_works":["https://openalex.org/W2163729038","https://openalex.org/W2466466083"],"related_works":["https://openalex.org/W2372190485","https://openalex.org/W2139769859","https://openalex.org/W2583282232","https://openalex.org/W2140357074","https://openalex.org/W2113562070","https://openalex.org/W2810502498","https://openalex.org/W2743670993","https://openalex.org/W2028268383","https://openalex.org/W2809708642","https://openalex.org/W2317166921"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,49],"consider":[4],"a":[5,22,32],"real-time":[6],"multimedia":[7],"broadcasting":[8],"system":[9],"with":[10],"systematic":[11],"network":[12],"coding":[13],"over":[14],"packet":[15,37,64,77],"erasure":[16],"channel.":[17],"We":[18],"focus":[19],"on":[20],"studying":[21],"theoretical":[23,86],"decoding":[24,53],"error":[25,54],"rate":[26,39,45,55,66,79],"and":[27,43],"shows":[28],"that":[29,51],"it":[30,70],"is":[31,56,67,71,80],"function":[33],"of":[34,40,46],"encoding":[35,61,74],"number,":[36],"loss":[38,65,78],"wireless":[41],"channel":[42],"code":[44],"system.":[47],"Specifically,":[48],"show":[50],"the":[52,60],"inversely":[57],"proportional":[58,72],"to":[59,73],"number":[62,75],"if":[63,76],"low,":[68],"while":[69],"high.":[81],"The":[82],"simulation":[83],"results":[84],"confirm":[85],"analysis.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}