{"id":"https://openalex.org/W3198986590","doi":"https://doi.org/10.1109/tvt.2021.3113836","title":"Metrics and Algorithms for Designing Convolutional Codes With Unequal Error Protection","display_name":"Metrics and Algorithms for Designing Convolutional Codes With Unequal Error Protection","publication_year":2021,"publication_date":"2021-09-20","ids":{"openalex":"https://openalex.org/W3198986590","doi":"https://doi.org/10.1109/tvt.2021.3113836","mag":"3198986590"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2021.3113836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3113836","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5076014543","display_name":"Mohammad Karimzadeh","orcid":"https://orcid.org/0000-0002-7329-7293"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Karimzadeh","raw_affiliation_strings":["Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7329-7293","affiliations":[{"raw_affiliation_string":"Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000020663","display_name":"Mai Vu","orcid":"https://orcid.org/0000-0003-4486-5500"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mai Vu","raw_affiliation_strings":["Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4486-5500","affiliations":[{"raw_affiliation_string":"Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":0.6077,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7000795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"70","issue":"11","first_page":"11169","last_page":"11183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12029","display_name":"DNA and Biological Computing","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9955999851226807,"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/convolutional-code","display_name":"Convolutional code","score":0.7876664400100708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814906001091003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5986208915710449},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44783878326416016},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.43046295642852783},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.17555752396583557},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.06059303879737854}],"concepts":[{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.7876664400100708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814906001091003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5986208915710449},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44783878326416016},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.43046295642852783},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.17555752396583557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.06059303879737854},{"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/tvt.2021.3113836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3113836","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W637979698","https://openalex.org/W1509953781","https://openalex.org/W2015635521","https://openalex.org/W2065141572","https://openalex.org/W2069942572","https://openalex.org/W2083342911","https://openalex.org/W2097571405","https://openalex.org/W2098666392","https://openalex.org/W2104820583","https://openalex.org/W2107402738","https://openalex.org/W2107804301","https://openalex.org/W2115128587","https://openalex.org/W2121496396","https://openalex.org/W2122057349","https://openalex.org/W2122683098","https://openalex.org/W2127901138","https://openalex.org/W2136765480","https://openalex.org/W2142384583","https://openalex.org/W2149775573","https://openalex.org/W2150250826","https://openalex.org/W2152265083","https://openalex.org/W2154929945","https://openalex.org/W2156452863","https://openalex.org/W2160647929","https://openalex.org/W2161602702","https://openalex.org/W2461557252","https://openalex.org/W2506048546","https://openalex.org/W2559059375","https://openalex.org/W2596263981","https://openalex.org/W2774185825","https://openalex.org/W2963829778","https://openalex.org/W2979791771","https://openalex.org/W3009595358","https://openalex.org/W3048518159","https://openalex.org/W3089384534","https://openalex.org/W3147414854","https://openalex.org/W4235200934","https://openalex.org/W4292083457","https://openalex.org/W6620666498"],"related_works":["https://openalex.org/W2159911483","https://openalex.org/W2358415454","https://openalex.org/W2158222171","https://openalex.org/W2088295822","https://openalex.org/W2148668421","https://openalex.org/W2970575518","https://openalex.org/W2092269370","https://openalex.org/W2108627014","https://openalex.org/W2029061748","https://openalex.org/W2123852807"],"abstract_inverted_index":{"We":[0,122],"consider":[1],"multi-input":[2,157],"convolutional":[3,59,106,137,158],"codes":[4,107,159,169],"with":[5,108,160],"unequal":[6],"error":[7,120,150],"protection":[8],"(UEP)":[9],"among":[10],"the":[11,17,68,74,124,127,145,171],"inputs.":[12,46],"Using":[13,96],"conventional":[14],"metrics":[15,41,56],"including":[16],"free":[18,22],"input":[19,23,119,149],"distance":[20],"and":[21,35,63,73,86,130,147,165],"sum":[24,117],"weight":[25,70],"as":[26],"a":[27,115],"measure":[28],"for":[29,42,104,155],"UEP":[30,61,78,89,136,148,161],"degree,":[31],"we":[32,48,99],"design":[33,128],"efficient":[34],"optimal":[36],"algorithms":[37,154],"to":[38,57,113],"evaluate":[39],"these":[40,55,97],"any":[43],"number":[44],"of":[45,94,118,126,143],"Next,":[47],"discuss":[49],"several":[50],"ambiguities":[51],"arisen":[52],"from":[53],"using":[54],"estimate":[58],"code":[60,138],"property":[62],"propose":[64,100],"two":[65],"new":[66],"metrics,":[67,98],"average":[69],"per":[71],"path":[72],"ant":[75],"colony":[76],"system":[77],"(ACS-UEP)":[79],"index.":[80],"The":[81],"ACS-UEP":[82],"index":[83],"can":[84],"accurately":[85],"consistently":[87],"capture":[88],"properties":[90],"over":[91,134],"all":[92],"ranges":[93],"SNR.":[95],"an":[101],"algorithmic":[102],"process":[103],"designing":[105,139,156],"bounded":[109],"external":[110],"degree":[111],"complexity":[112],"minimize":[114],"weighted":[116],"probabilities.":[121],"analyze":[123],"effectiveness":[125],"approach":[129,140],"show":[131],"significant":[132],"improvements":[133],"existing":[135],"in":[141],"terms":[142],"both":[144],"absolute":[146],"protections.":[151],"Our":[152],"proposed":[153],"are":[162],"flexible,":[163],"adaptable,":[164],"provide":[166],"high":[167],"performance":[168],"within":[170],"specified":[172],"complexity.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
