{"id":"https://openalex.org/W2970759981","doi":"https://doi.org/10.1109/lwc.2019.2937299","title":"Learning to Mitigate the FAR in Polar Code Blind Detection","display_name":"Learning to Mitigate the FAR in Polar Code Blind Detection","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970759981","doi":"https://doi.org/10.1109/lwc.2019.2937299","mag":"2970759981"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2019.2937299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2019.2937299","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","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/A5069582226","display_name":"Jincheng Dai","orcid":"https://orcid.org/0000-0002-0310-568X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jincheng Dai","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-568X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079099587","display_name":"Jian Gao","orcid":"https://orcid.org/0000-0001-5113-1551"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Gao","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5113-1551","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008455605","display_name":"Kai Niu","orcid":"https://orcid.org/0000-0002-8076-1867"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Niu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8076-1867","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069582226"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.8571,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87068826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"8","issue":"6","first_page":"1692","last_page":"1695"},"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/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/T11130","display_name":"Coding theory and cryptography","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8032084703445435},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7704710364341736},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.586192786693573},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.500192403793335},{"id":"https://openalex.org/keywords/polar-code","display_name":"Polar code","score":0.48875999450683594},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4691924750804901},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42690131068229675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4236862063407898},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4216157793998718},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.42092710733413696},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4209066331386566},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40774810314178467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40700629353523254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3284524381160736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25321629643440247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09131115674972534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8032084703445435},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7704710364341736},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.586192786693573},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.500192403793335},{"id":"https://openalex.org/C2778396592","wikidata":"https://www.wikidata.org/wiki/Q7209069","display_name":"Polar code","level":3,"score":0.48875999450683594},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4691924750804901},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42690131068229675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4236862063407898},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4216157793998718},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42092710733413696},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4209066331386566},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40774810314178467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40700629353523254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3284524381160736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25321629643440247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09131115674972534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2019.2937299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2019.2937299","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G728967117","display_name":null,"funder_award_id":"61671080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7941135010","display_name":null,"funder_award_id":"2018YFE0205501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2033234285","https://openalex.org/W2106045225","https://openalex.org/W2150498905","https://openalex.org/W2612982029","https://openalex.org/W2963771630","https://openalex.org/W2964121744","https://openalex.org/W2964121914","https://openalex.org/W2964152813","https://openalex.org/W2999759127","https://openalex.org/W3101826751","https://openalex.org/W4298310490","https://openalex.org/W6631190155","https://openalex.org/W6750479747"],"related_works":["https://openalex.org/W3009157344","https://openalex.org/W2008803526","https://openalex.org/W2786545028","https://openalex.org/W2885004924","https://openalex.org/W4386259870","https://openalex.org/W3010917915","https://openalex.org/W4293057822","https://openalex.org/W2798867000","https://openalex.org/W2964031101","https://openalex.org/W4299726024"],"abstract_inverted_index":{"Polar":[0],"codes":[1],"have":[2],"been":[3],"adopted":[4],"as":[5],"the":[6,13,18,28,33,46,55,58,66,71,75,86,93,97,100,105,129,140],"coding":[7],"scheme":[8],"for":[9],"control":[10,77],"channels":[11],"in":[12,32,104],"5G":[14],"communication":[15],"system,":[16],"where":[17],"blind":[19,36],"detection":[20],"is":[21,74,107],"required.":[22],"In":[23],"this":[24,133],"letter,":[25],"to":[26,68,127,139],"mitigate":[27],"false-alarm":[29],"rate":[30],"(FAR)":[31],"polar":[34,144],"code":[35],"detection,":[37],"we":[38],"propose":[39],"a":[40,51,111],"more":[41],"efficient":[42],"architecture":[43],"which":[44],"combines":[45],"conventional":[47],"list":[48,56],"decoding":[49],"and":[50,96,99,132],"binary":[52],"classifier.":[53],"After":[54],"decoding,":[57],"CRC-passing":[59],"result":[60],"will":[61],"be":[62,125],"further":[63],"checked":[64],"by":[65,84,110],"classifier":[67,82,106],"determine":[69],"whether":[70],"received":[72,94],"signal":[73,95],"intended":[76],"information":[78],"or":[79],"not.":[80],"The":[81,115],"works":[83],"inspecting":[85],"squared":[87],"Euclidean":[88],"distance":[89],"ratio":[90],"(SEDR)":[91],"between":[92],"hypotheses,":[98],"decision":[101],"threshold":[102],"used":[103],"automatically":[108],"learnt":[109],"neural":[112],"network":[113],"(NN).":[114],"presented":[116],"results":[117],"show":[118],"that":[119],"very":[120],"short":[121],"CRC":[122,134],"sequences":[123],"can":[124],"enough":[126],"reach":[128],"target":[130],"FAR,":[131],"overhead":[135],"reduction":[136],"finally":[137],"contributes":[138],"performance":[141],"improvement":[142],"of":[143],"codes.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}