{"id":"https://openalex.org/W2978037837","doi":"https://doi.org/10.1109/vts-apwcs.2019.8851650","title":"TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code","display_name":"TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2978037837","doi":"https://doi.org/10.1109/vts-apwcs.2019.8851650","mag":"2978037837"},"language":"en","primary_location":{"id":"doi:10.1109/vts-apwcs.2019.8851650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts-apwcs.2019.8851650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)","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/A5101459312","display_name":"Yunfeng He","orcid":"https://orcid.org/0000-0001-7005-8548"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunfeng He","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005367960","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-7278-6546"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024436944","display_name":"Chao-Kai Wen","orcid":"https://orcid.org/0000-0001-5952-232X"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Kai Wen","raw_affiliation_strings":["Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, 804","Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, 804","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101459312"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":3.5368,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93589783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9927999973297119,"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/turbo-code","display_name":"Turbo code","score":0.7780120372772217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7562226057052612},{"id":"https://openalex.org/keywords/turbo-equalizer","display_name":"Turbo equalizer","score":0.6971309185028076},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5841370224952698},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5239988565444946},{"id":"https://openalex.org/keywords/turbo","display_name":"Turbo","score":0.43517377972602844},{"id":"https://openalex.org/keywords/serial-concatenated-convolutional-codes","display_name":"Serial concatenated convolutional codes","score":0.425850510597229},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4235406816005707},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.41985073685646057},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.40766382217407227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3263874053955078},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.22702506184577942},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.20165640115737915},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.164046049118042},{"id":"https://openalex.org/keywords/error-floor","display_name":"Error floor","score":0.10192996263504028},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07549822330474854},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.07334750890731812}],"concepts":[{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.7780120372772217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562226057052612},{"id":"https://openalex.org/C12232224","wikidata":"https://www.wikidata.org/wiki/Q7853840","display_name":"Turbo equalizer","level":5,"score":0.6971309185028076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5841370224952698},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5239988565444946},{"id":"https://openalex.org/C2776240298","wikidata":"https://www.wikidata.org/wiki/Q1138513","display_name":"Turbo","level":2,"score":0.43517377972602844},{"id":"https://openalex.org/C33529081","wikidata":"https://www.wikidata.org/wiki/Q18378194","display_name":"Serial concatenated convolutional codes","level":5,"score":0.425850510597229},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4235406816005707},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.41985073685646057},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.40766382217407227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3263874053955078},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.22702506184577942},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.20165640115737915},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.164046049118042},{"id":"https://openalex.org/C46462455","wikidata":"https://www.wikidata.org/wiki/Q5395712","display_name":"Error floor","level":4,"score":0.10192996263504028},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07549822330474854},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.07334750890731812},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vts-apwcs.2019.8851650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts-apwcs.2019.8851650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1562979145","https://openalex.org/W2045407304","https://openalex.org/W2106509114","https://openalex.org/W2118263817","https://openalex.org/W2121606987","https://openalex.org/W2127918465","https://openalex.org/W2167984742","https://openalex.org/W2584943905","https://openalex.org/W2666368276","https://openalex.org/W2787490206","https://openalex.org/W2963408536","https://openalex.org/W2964121744","https://openalex.org/W2964175260","https://openalex.org/W2964231443","https://openalex.org/W2987657883"],"related_works":["https://openalex.org/W2111465178","https://openalex.org/W2031266772","https://openalex.org/W2103764150","https://openalex.org/W1925052465","https://openalex.org/W1980604010","https://openalex.org/W2126450554","https://openalex.org/W2116478666","https://openalex.org/W1503126716","https://openalex.org/W2162180365","https://openalex.org/W1979184225"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"TurboNet,":[3,27],"a":[4,21,42,70],"novel":[5],"model-driven":[6],"deep":[7,43],"learning":[8],"(DL)":[9],"architecture":[10],"for":[11,34],"turbo":[12,35],"decoding":[13,36,47,53],"that":[14],"combines":[15],"DL":[16],"with":[17,69,112],"the":[18,30,51,59,66,78,81],"traditional":[19],"max-log-maximum":[20],"posteriori":[22],"(MAP)":[23],"algorithm.":[24],"To":[25],"design":[26],"we":[28],"unfold":[29],"original":[31],"iterative":[32],"structure":[33],"and":[37,90,98,107],"replace":[38,65],"each":[39],"iteration":[40],"by":[41,57],"neural":[44],"network":[45],"(DNN)":[46],"unit.":[48],"In":[49],"particular,":[50],"DNN":[52,75],"unit":[54],"is":[55],"obtained":[56],"parameterizing":[58],"max-log-":[60],"MAP":[61],"algorithm":[62],"rather":[63],"than":[64],"whole":[67],"decoder":[68],"black":[71],"box":[72],"fully":[73],"connected":[74],"architecture.":[76],"With":[77],"proposed":[79],"architecture,":[80],"parameters":[82],"can":[83],"be":[84],"efficiently":[85],"learned":[86],"from":[87],"training":[88],"data,":[89],"thus":[91],"TurboNet":[92],"learns":[93],"to":[94,101],"appropriately":[95],"use":[96],"systematic":[97],"parity":[99],"information":[100],"offer":[102],"higher":[103],"error":[104],"correction":[105],"capabilities":[106],"decrease":[108],"computational":[109],"complexity":[110],"compared":[111],"existing":[113],"methods.":[114],"Furthermore,":[115],"simulation":[116],"results":[117],"prove":[118],"TurboNet's":[119],"superiority":[120],"in":[121],"signal-to-noise":[122],"ratio":[123],"generalizations.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}