{"id":"https://openalex.org/W2887241500","doi":"https://doi.org/10.1109/icc.2018.8422461","title":"Localization-Based Polar Code Construction with Sublinear Complexity","display_name":"Localization-Based Polar Code Construction with Sublinear Complexity","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2887241500","doi":"https://doi.org/10.1109/icc.2018.8422461","mag":"2887241500"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2018.8422461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications (ICC)","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/A5100439282","display_name":"Ran Zhang","orcid":"https://orcid.org/0000-0001-7666-0599"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ran Zhang","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079724642","display_name":"Yiqun Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yiqun Ge","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027932348","display_name":"Hamid Saber","orcid":"https://orcid.org/0000-0002-4418-5866"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamid Saber","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084179015","display_name":"Wuxian Shi","orcid":"https://orcid.org/0000-0003-4771-4601"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wuxian Shi","raw_affiliation_strings":["Ottawa Research Center, Huawei Technologies, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ottawa Research Center, Huawei Technologies, Ottawa, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773343","display_name":"Xuemin Shen","orcid":"https://orcid.org/0000-0002-4140-287X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xuemin Shen","raw_affiliation_strings":["Univerisy of Waterloo, Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisy of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1976,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57322562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":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/T12029","display_name":"DNA and Biological Computing","score":0.9936000108718872,"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"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9825999736785889,"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/sublinear-function","display_name":"Sublinear function","score":0.7280600666999817},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.667705237865448},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5963259339332581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853661894798279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5775130391120911},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.568691611289978},{"id":"https://openalex.org/keywords/polar-code","display_name":"Polar code","score":0.5370463728904724},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.527182936668396},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.5206074714660645},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47457006573677063},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4124404788017273},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3311639130115509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26565098762512207},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2649584114551544},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.18827062845230103},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.16544625163078308},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10912099480628967},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08193844556808472}],"concepts":[{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.7280600666999817},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.667705237865448},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5963259339332581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853661894798279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5775130391120911},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.568691611289978},{"id":"https://openalex.org/C2778396592","wikidata":"https://www.wikidata.org/wiki/Q7209069","display_name":"Polar code","level":3,"score":0.5370463728904724},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.527182936668396},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.5206074714660645},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47457006573677063},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4124404788017273},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3311639130115509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26565098762512207},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2649584114551544},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18827062845230103},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.16544625163078308},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10912099480628967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08193844556808472},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2018.8422461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications (ICC)","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":9,"referenced_works":["https://openalex.org/W2051843156","https://openalex.org/W2106045225","https://openalex.org/W2145712176","https://openalex.org/W2150498905","https://openalex.org/W2161541170","https://openalex.org/W2169877013","https://openalex.org/W2514963767","https://openalex.org/W2608866305","https://openalex.org/W2964039698"],"related_works":["https://openalex.org/W90906771","https://openalex.org/W2018828772","https://openalex.org/W2529185025","https://openalex.org/W2963228343","https://openalex.org/W1599814246","https://openalex.org/W3106389544","https://openalex.org/W3080200660","https://openalex.org/W3196757433","https://openalex.org/W1514186088","https://openalex.org/W2976369658"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,22,35,60,65,69,79],"localization-based":[4],"polar":[5,32,66],"construction":[6],"method":[7,71,153],"is":[8,72,93],"proposed":[9,152],"to":[10,42,63,76,133,138],"directly":[11],"find":[12],"the":[13,28,88,98,102,111,115,118,135,148,151,156],"set":[14,120],"of":[15,27,31,38,121,150],"synthetic":[16,39,99,112,122],"channels":[17,40,100,113,123],"for":[18,124],"information":[19,125],"bits":[20,126],"given":[21],"code":[23,144],"configuration.":[24],"Taking":[25],"advantage":[26],"partial":[29,81],"order":[30,82],"codes,":[33],"only":[34],"small":[36],"number":[37],"need":[41],"be":[43],"ordered,":[44],"which":[45],"scales":[46],"as":[47],"O(N/":[48],"log":[49],"<sub":[50],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[51,54],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[52],"<sup":[53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3/</sup>":[55],"2":[56],"N),":[57],"resulting":[58],"in":[59,87],"sublinear":[61],"complexity":[62],"construct":[64,78],"code.":[67],"Specifically,":[68],"practical":[70],"put":[73],"forward":[74],"first":[75],"fast":[77],"group-based":[80],"diagram.":[83],"A":[84],"local":[85,103,116],"area":[86,104],"diagram":[89],"with":[90,109,155],"adaptive":[91],"boundaries":[92],"then":[94],"identified.":[95],"By":[96],"ordering":[97],"within":[101],"and":[105,143,146],"combining":[106],"selected":[107],"ones":[108],"all":[110],"beyond":[114],"area,":[117],"final":[119],"are":[127],"determined.":[128],"Simulation":[129],"results":[130],"demonstrate":[131],"how":[132],"adapt":[134],"boundary":[136],"settings":[137],"different":[139],"rate":[140],"matching":[141],"schemes":[142],"configurations,":[145],"validate":[147],"effectiveness":[149],"compared":[154],"density":[157],"evolution":[158],"based":[159],"methods.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}