{"id":"https://openalex.org/W2775931479","doi":"https://doi.org/10.1109/tit.2017.2787571","title":"Systematic Block Markov Superposition Transmission of Repetition Codes","display_name":"Systematic Block Markov Superposition Transmission of Repetition Codes","publication_year":2017,"publication_date":"2017-12-27","ids":{"openalex":"https://openalex.org/W2775931479","doi":"https://doi.org/10.1109/tit.2017.2787571","mag":"2775931479"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2017.2787571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2017.2787571","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","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/A5057620799","display_name":"Xiao Ma","orcid":"https://orcid.org/0000-0001-6617-1978"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ma","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6617-1978","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044153572","display_name":"Kechao Huang","orcid":"https://orcid.org/0000-0002-7635-8186"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kechao Huang","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","Huawei Technologies Co., Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7635-8186","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063124926","display_name":"Baoming Bai","orcid":"https://orcid.org/0000-0002-6161-5493"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoming Bai","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6161-5493","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1514,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89717407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"64","issue":"3","first_page":"1604","last_page":"1620"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.6404724717140198},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.608116626739502},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5730317234992981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5519700050354004},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.5287931561470032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49327796697616577},{"id":"https://openalex.org/keywords/linear-code","display_name":"Linear code","score":0.4818635880947113},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.45935535430908203},{"id":"https://openalex.org/keywords/serial-concatenated-convolutional-codes","display_name":"Serial concatenated convolutional codes","score":0.44058749079704285},{"id":"https://openalex.org/keywords/fountain-code","display_name":"Fountain code","score":0.4312293231487274},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.4251345992088318},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41202110052108765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39098280668258667}],"concepts":[{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.6404724717140198},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.608116626739502},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5730317234992981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5519700050354004},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.5287931561470032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49327796697616577},{"id":"https://openalex.org/C2400350","wikidata":"https://www.wikidata.org/wiki/Q1752667","display_name":"Linear code","level":4,"score":0.4818635880947113},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.45935535430908203},{"id":"https://openalex.org/C33529081","wikidata":"https://www.wikidata.org/wiki/Q18378194","display_name":"Serial concatenated convolutional codes","level":5,"score":0.44058749079704285},{"id":"https://openalex.org/C76132124","wikidata":"https://www.wikidata.org/wiki/Q5474786","display_name":"Fountain code","level":5,"score":0.4312293231487274},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.4251345992088318},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41202110052108765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39098280668258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2017.2787571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2017.2787571","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G252259354","display_name":null,"funder_award_id":"2015AA01A709","funder_id":"https://openalex.org/F4320335773","funder_display_name":"National High-tech Research and Development Program"},{"id":"https://openalex.org/G3982379256","display_name":null,"funder_award_id":"2012-CB316100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320310260","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W628021441","https://openalex.org/W1590275718","https://openalex.org/W1945304109","https://openalex.org/W1969024111","https://openalex.org/W1972036717","https://openalex.org/W1981526911","https://openalex.org/W1987801359","https://openalex.org/W1991528082","https://openalex.org/W1999589899","https://openalex.org/W2006317538","https://openalex.org/W2012642489","https://openalex.org/W2015297238","https://openalex.org/W2019094564","https://openalex.org/W2034849381","https://openalex.org/W2071878365","https://openalex.org/W2076370927","https://openalex.org/W2077796887","https://openalex.org/W2094085127","https://openalex.org/W2097022455","https://openalex.org/W2098111206","https://openalex.org/W2099335463","https://openalex.org/W2121606987","https://openalex.org/W2123119950","https://openalex.org/W2128765501","https://openalex.org/W2129027280","https://openalex.org/W2139584447","https://openalex.org/W2142384583","https://openalex.org/W2144336593","https://openalex.org/W2150494733","https://openalex.org/W2150498905","https://openalex.org/W2150870540","https://openalex.org/W2153770209","https://openalex.org/W2154147983","https://openalex.org/W2154315166","https://openalex.org/W2155409730","https://openalex.org/W2156973751","https://openalex.org/W2157651496","https://openalex.org/W2159284178","https://openalex.org/W2160647929","https://openalex.org/W2160668024","https://openalex.org/W2172679141","https://openalex.org/W2179644698","https://openalex.org/W2242182868","https://openalex.org/W2398024596","https://openalex.org/W2963927530","https://openalex.org/W2987657883","https://openalex.org/W3100523383","https://openalex.org/W3104291019","https://openalex.org/W3125530803","https://openalex.org/W4256264271","https://openalex.org/W4300188436"],"related_works":["https://openalex.org/W792671342","https://openalex.org/W2097335705","https://openalex.org/W2017300757","https://openalex.org/W2123798617","https://openalex.org/W1848770611","https://openalex.org/W2145023694","https://openalex.org/W1646609213","https://openalex.org/W2169339405","https://openalex.org/W1900871934","https://openalex.org/W2115198523"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,97],"propose":[4],"systematic":[5,32,133,165,181],"block":[6,84],"Markov":[7,85],"superposition":[8,86],"transmission":[9],"of":[10,20,174],"repetition":[11],"(BMST-R)":[12],"codes,":[13,41],"which":[14,126],"can":[15],"support":[16],"a":[17,83,110,128,171],"wide":[18,172],"range":[19,173],"code":[21,124,175],"rates":[22],"but":[23],"maintain":[24],"essentially":[25],"the":[26,36,49,54,60,93,105,153,159,185],"same":[27],"encoding/decoding":[28],"hardware":[29],"structure.":[30],"The":[31,64,113],"BMST-R":[33,134,166,182],"codes":[34,94,135,167,183,194],"resemble":[35],"classical":[37],"rate-compatible":[38],"punctured":[39],"convolutional":[40],"except":[42],"that":[43,92],"they":[44],"are":[45,78,95,156],"typically":[46],"non-decodable":[47],"by":[48,59],"Viterbi":[50],"algorithm":[51],"due":[52],"to":[53,130,140],"huge":[55],"constraint":[56],"length":[57],"induced":[58],"block-oriented":[61],"encoding":[62,121],"process.":[63],"information":[65],"sequence":[66],"is":[67],"partitioned":[68],"equally":[69],"into":[70,90],"blocks":[71],"and":[72,80,101,123,136,146,177,188],"transmitted":[73,81],"directly,":[74],"while":[75],"their":[76],"replicas":[77],"interleaved":[79],"in":[82,158,170],"manner.":[87],"By":[88],"taking":[89],"account":[91],"systematic,":[96],"derive":[98],"both":[99],"upper":[100],"lower":[102,115],"bounds":[103,155],"on":[104],"bit-error-rate":[106],"(BER)":[107],"under":[108,195],"maximum":[109],"posteriori":[111],"decoding.":[112],"derived":[114],"bound":[116],"reveals":[117],"connections":[118],"among":[119,143],"BER,":[120],"memory":[122],"rate,":[125],"provides":[127],"way":[129],"design":[131],"good":[132],"also":[137],"allows":[138],"us":[139],"make":[141],"trade-offs":[142],"efficiency,":[144],"performance,":[145],"complexity.":[147],"Numerical":[148],"results":[149],"show":[150],"that:":[151],"1)":[152],"proposed":[154],"tight":[157],"high":[160],"signal-to-noise":[161],"ratio":[162],"region;":[163],"2)":[164],"perform":[168],"well":[169],"rates;":[176],"3)":[178],"rate":[179],"1/2":[180],"outperform":[184],"considered":[186],"(3,6)-":[187],"(4,8)-regular":[189],"spatially":[190],"coupled":[191],"low-density":[192],"parity-check":[193],"an":[196],"equal":[197],"decoding":[198],"latency":[199],"constraint.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}