{"id":"https://openalex.org/W2102761844","doi":"https://doi.org/10.1109/itw.2003.1216741","title":"Punctured turbo code ensembles","display_name":"Punctured turbo code ensembles","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2102761844","doi":"https://doi.org/10.1109/itw.2003.1216741","mag":"2102761844"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2003.1216741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2003.1216741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674)","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/A5078025996","display_name":"Ruoheng Liu","orcid":"https://orcid.org/0000-0002-7831-0637"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoheng Liu","raw_affiliation_strings":["ECE Department, Rutgers University, Piscataway, NJ, USA","[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090245711","display_name":"Predrag Spasojevi\u0107","orcid":"https://orcid.org/0000-0002-4244-6698"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Spasojevic","raw_affiliation_strings":["ECE Department, Rutgers University, Piscataway, NJ, USA","[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001141998","display_name":"E. Soijanin","orcid":null},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"E. Soijanin","raw_affiliation_strings":["Bell Labs, Lucent, Murray Hill, NJ","Lucent"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Labs, Lucent, Murray Hill, NJ","institution_ids":[]},{"raw_affiliation_string":"Lucent","institution_ids":["https://openalex.org/I1322087612"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.964,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96034277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9995999932289124,"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/T11130","display_name":"Coding theory and cryptography","score":0.9980000257492065,"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/puncturing","display_name":"Puncturing","score":0.8164665699005127},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.6462727189064026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5707056522369385},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.507274329662323},{"id":"https://openalex.org/keywords/turbo-equalizer","display_name":"Turbo equalizer","score":0.4841202199459076},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.47123631834983826},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4523625075817108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45082753896713257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3289593756198883},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2180505096912384},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.16456955671310425}],"concepts":[{"id":"https://openalex.org/C2778808095","wikidata":"https://www.wikidata.org/wiki/Q3899825","display_name":"Puncturing","level":2,"score":0.8164665699005127},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.6462727189064026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5707056522369385},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.507274329662323},{"id":"https://openalex.org/C12232224","wikidata":"https://www.wikidata.org/wiki/Q7853840","display_name":"Turbo equalizer","level":5,"score":0.4841202199459076},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.47123631834983826},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4523625075817108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45082753896713257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3289593756198883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2180505096912384},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.16456955671310425}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw.2003.1216741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2003.1216741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W101564851","https://openalex.org/W2098312120","https://openalex.org/W7016191803"],"related_works":["https://openalex.org/W1977610459","https://openalex.org/W2126450554","https://openalex.org/W2586171355","https://openalex.org/W940579099","https://openalex.org/W2374458970","https://openalex.org/W2527797132","https://openalex.org/W2901933499","https://openalex.org/W2165999954","https://openalex.org/W1989880130","https://openalex.org/W1654170235"],"abstract_inverted_index":{"We":[0],"analyze":[1],"the":[2,14,18,64,89,129,137,156,171],"asymptotic":[3,65],"performance":[4],"of":[5,22,100,136,173],"punctured":[6,27,90,138,191],"turbo":[7,28,51,91,139,185],"codes.":[8,192],"The":[9],"analysis":[10],"is":[11,95,123,155],"based":[12],"on":[13,17,108,114],"union":[15],"bound":[16],"word":[19,133],"error":[20,134],"probability":[21,135],"maximum":[23],"likelihood":[24],"decoding":[25,132],"for":[26,47,88],"code":[29,52,92,140],"ensembles":[30],"averaged":[31],"over":[32],"all":[33],"possible":[34],"puncturing":[35,66,182],"patterns":[36],"and":[37,104],"interleavers.":[38],"By":[39],"using":[40],"special":[41],"probabilistic":[42],"puncturing,":[43],"we":[44,111],"prove":[45,112],"that,":[46,113],"a":[48,56,81,98],"given":[49],"mother":[50],"ensemble,":[53],"[C],":[54],"with":[55],"finite":[57,82],"noise":[58,83,121],"threshold,":[59,84],"c/sub":[60,85,101,126],"0//sup":[61,77,86,102,127],"[C]/,":[62,78],"if":[63],"turing":[67],"rate,":[68],"/spl":[69,73,105,153],"lambda/,":[70],"satisfies":[71],"log":[72],"lambda/":[74],"<":[75],"-c/sub":[76],"there":[79],"exists":[80],"[Cp]/,":[87,128],"ensemble":[93,141],"which":[94,181],"bounded":[96],"by":[97],"function":[99],"[C]/":[103],"lambda/.":[106],"Based":[107],"this":[109],"result,":[110],"any":[115],"binary-input":[116],"memoryless":[117],"channel":[118],"whose":[119],"Bhattacharyya":[120],"distance":[122],"greater":[124],"than":[125],"average":[130],"ML":[131],"approaches":[142],"zero":[143],"at":[144],"least":[145],"as":[146,148],"fast":[147],"n/sup":[149],"-/spl":[150],"beta//,":[151],"where":[152],"beta/":[154],"well":[157],"known":[158],"\"interleaver":[159],"gain\"":[160],"exponent.":[161],"This":[162],"enables":[163],"us":[164],"to":[165,180,189],"answer":[166],"an":[167],"important":[168],"question":[169],"in":[170],"practice":[172],"HARQ":[174],"(hybrid":[175],"ARQ)":[176],"schemes,":[177],"namely,":[178],"up":[179],"rate":[183],"\"good\"":[184,190],"codes":[186],"give":[187],"rise":[188]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}