{"id":"https://openalex.org/W4207024826","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9682079","title":"Analysis of Polarization-adjusted Convolutional Codes (PAC): A Source-Channel Coding Method","display_name":"Analysis of Polarization-adjusted Convolutional Codes (PAC): A Source-Channel Coding Method","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4207024826","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9682079"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps52748.2021.9682079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9682079","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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 Globecom Workshops (GC Wkshps)","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/A5032569059","display_name":"He Sun","orcid":"https://orcid.org/0000-0002-2886-0438"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Sun","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043667125","display_name":"Emanuele Viterbo","orcid":"https://orcid.org/0000-0002-5861-2873"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Emanuele Viterbo","raw_affiliation_strings":["Monash University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077936056","display_name":"Rongke Liu","orcid":"https://orcid.org/0000-0003-3098-8649"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongke Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032569059"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.464,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90544912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"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":1.0,"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":0.9983000159263611,"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/T12029","display_name":"DNA and Biological Computing","score":0.9909999966621399,"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":0.7438987493515015},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6649169325828552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6481384038925171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248429417610168},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.5746957063674927},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5379806756973267},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4738105833530426},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4299507737159729},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.4117940068244934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2429284155368805},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.23467668890953064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11048716306686401}],"concepts":[{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.7438987493515015},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6649169325828552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6481384038925171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248429417610168},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.5746957063674927},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5379806756973267},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4738105833530426},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4299507737159729},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.4117940068244934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2429284155368805},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23467668890953064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11048716306686401},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps52748.2021.9682079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9682079","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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 Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1893302682","https://openalex.org/W1972808865","https://openalex.org/W1981735015","https://openalex.org/W1995875735","https://openalex.org/W2011996271","https://openalex.org/W2022271272","https://openalex.org/W2033234285","https://openalex.org/W2045456583","https://openalex.org/W2098470405","https://openalex.org/W2099111195","https://openalex.org/W2106045225","https://openalex.org/W2148164553","https://openalex.org/W2150498905","https://openalex.org/W2164368671","https://openalex.org/W2196937749","https://openalex.org/W2895932419","https://openalex.org/W2969835263","https://openalex.org/W2995572641","https://openalex.org/W3080651848","https://openalex.org/W3124677789","https://openalex.org/W3131382881","https://openalex.org/W3141921537","https://openalex.org/W4394657326","https://openalex.org/W6639861174","https://openalex.org/W6771326266"],"related_works":["https://openalex.org/W2159911483","https://openalex.org/W2358415454","https://openalex.org/W2132373020","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"],"abstract_inverted_index":{"Polarization-adjusted":[0],"convolutional":[1,14,49,113],"(PAC)":[2],"code":[3],"improves":[4],"the":[5,30,33,41,48,68,72,82,86,94,99,104,109,121,137,140],"error-correction":[6,147],"ability":[7],"of":[8,32,47,75,136],"polar":[9,17,129],"codes":[10,123],"by":[11,93],"concatenating":[12],"a":[13,24,53,133],"transform":[15,114],"with":[16],"transform.":[18],"In":[19,40],"this":[20],"paper,":[21],"we":[22],"establish":[23],"source-channel":[25,42],"coding":[26,43,70,84,89,107],"framework":[27],"to":[28,52,67,132],"develop":[29],"theory":[31],"optimal":[34],"rate":[35,100,110,126],"assignment":[36,111,127],"for":[37],"PAC":[38,122],"codes.":[39],"model,":[44],"each":[45,76],"column":[46],"matrix":[50],"corresponds":[51],"source":[54,69,77,88,106],"encoder,":[55],"in":[56],"which":[57],"multiple":[58],"bits":[59],"are":[60,91],"compressed":[61],"into":[62],"one":[63],"polarized":[64,95,142],"channel.":[65],"According":[66],"theory,":[71],"distortion":[73,101],"function":[74],"encoder":[78],"is":[79,115],"derived.":[80],"With":[81,103],"Shannon":[83],"theorem,":[85],"achievable":[87,105],"rates":[90],"characterized":[92],"channel":[96],"capacity":[97,138],"and":[98,144],"function.":[102],"rates,":[108],"after":[112],"obtained.":[116],"Simulation":[117],"results":[118],"show":[119],"that":[120],"achieve":[124],"better":[125,134],"than":[128],"codes,":[130],"leading":[131],"exploitation":[135],"on":[139],"insufficiently":[141],"channels":[143],"an":[145],"improved":[146],"performance.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
