{"id":"https://openalex.org/W4210756748","doi":"https://doi.org/10.1109/globecom46510.2021.9685257","title":"Instantaneous Feedback-based Opportunistic Symbol Length Adaptation for Reliable Communication","display_name":"Instantaneous Feedback-based Opportunistic Symbol Length Adaptation for Reliable Communication","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210756748","doi":"https://doi.org/10.1109/globecom46510.2021.9685257"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685257","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5035875481","display_name":"Chin-Wei Hsu","orcid":"https://orcid.org/0000-0002-4817-8364"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chin-Wei Hsu","raw_affiliation_strings":["University of Michigan,Department of EECS,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of EECS,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021002637","display_name":"Achilleas Anastasopoulos","orcid":"https://orcid.org/0000-0003-3795-1654"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Achilleas Anastasopoulos","raw_affiliation_strings":["University of Michigan,Department of EECS,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of EECS,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196508","display_name":"Hun-Seok Kim","orcid":"https://orcid.org/0000-0002-6658-5502"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hun-Seok Kim","raw_affiliation_strings":["University of Michigan,Department of EECS,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of EECS,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035875481"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.308,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46105997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1610 873","issue":null,"first_page":"01","last_page":"06"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9944999814033508,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9916999936103821,"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/convolutional-code","display_name":"Convolutional code","score":0.7824153304100037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7400877475738525},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5742980241775513},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.5708171129226685},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5527535676956177},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.4805486798286438},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4646785855293274},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4644252061843872},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.45842352509498596},{"id":"https://openalex.org/keywords/viterbi-decoder","display_name":"Viterbi decoder","score":0.45530858635902405},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.44652628898620605},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43793243169784546},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.41870805621147156},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4135358929634094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3931941092014313},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34885483980178833},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23826256394386292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14200282096862793}],"concepts":[{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.7824153304100037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400877475738525},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5742980241775513},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.5708171129226685},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5527535676956177},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.4805486798286438},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4646785855293274},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4644252061843872},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.45842352509498596},{"id":"https://openalex.org/C117379686","wikidata":"https://www.wikidata.org/wiki/Q6996459","display_name":"Viterbi decoder","level":3,"score":0.45530858635902405},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.44652628898620605},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43793243169784546},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.41870805621147156},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4135358929634094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3931941092014313},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34885483980178833},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23826256394386292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14200282096862793},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/globecom46510.2021.9685257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685257","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":12,"referenced_works":["https://openalex.org/W1980386196","https://openalex.org/W2039544061","https://openalex.org/W2149685491","https://openalex.org/W2157875630","https://openalex.org/W2164684058","https://openalex.org/W2165098971","https://openalex.org/W2167679541","https://openalex.org/W2230735268","https://openalex.org/W2528151179","https://openalex.org/W3015658753","https://openalex.org/W3081359399","https://openalex.org/W6728127629"],"related_works":["https://openalex.org/W2101868111","https://openalex.org/W2183438146","https://openalex.org/W1621026665","https://openalex.org/W2093256002","https://openalex.org/W2108882652","https://openalex.org/W2510070518","https://openalex.org/W2358550039","https://openalex.org/W1965138518","https://openalex.org/W1879414379","https://openalex.org/W1584430919"],"abstract_inverted_index":{"It":[0,101],"is":[1,25,73,99,102],"well":[2,118],"known":[3],"that":[4,35,95],"although":[5],"feedback":[6,38,65,125,137],"cannot":[7],"increase":[8],"the":[9,57,61,67,82,96,110],"channel":[10],"capacity":[11],"of":[12,90],"memoryless":[13],"channels,":[14],"it":[15],"can":[16],"enhance":[17],"reliability":[18,98],"or":[19],"shorten":[20],"codeword":[21],"length.":[22],"This":[23],"work":[24,46],"based":[26],"on":[27,44],"an":[28],"early":[29],"result":[30],"by":[31,47,63],"Viterbi":[32],"in":[33,80,133],"1965":[34],"utilizes":[36],"instantaneous":[37],"for":[39],"reliable":[40],"communications.":[41],"We":[42],"build":[43],"this":[45],"incorporating":[48],"(tail-biting)":[49],"convolutional":[50,108],"codes":[51],"and":[52,135],"designing":[53],"a":[54,120],"system":[55,72],"where":[56],"decoder":[58],"interacts":[59],"with":[60,106,127],"transmitter":[62],"sending":[64],"during":[66],"decoding":[68],"process.":[69],"The":[70],"proposed":[71,111,122],"called":[74],"Opportunistic":[75],"Symbol":[76],"Length":[77],"Adaptation":[78],"(OSLA),":[79],"which":[81],"symbol":[83,92],"length":[84],"opportunistically":[85],"adapts":[86],"to":[87,93,129],"noise":[88],"realization":[89],"each":[91],"ensure":[94],"target":[97],"achieved.":[100],"shown":[103],"that,":[104],"combined":[105],"tail-biting":[107],"codes,":[109,116],"scheme":[112,126],"outperforms":[113],"state-of-the-art":[114],"non-feedback":[115],"as":[117,119],"recently":[121],"deep":[123],"learning-based":[124],"up":[128],"1.5":[130],"dB":[131],"gain":[132],"noise-less":[134],"noisy":[136],"channels.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
