{"id":"https://openalex.org/W7161170085","doi":"https://doi.org/10.48550/arxiv.2605.13331","title":"Blind Recognition of Polar Codes Using Successive Cancellation List Decoding","display_name":"Blind Recognition of Polar Codes Using Successive Cancellation List Decoding","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161170085","doi":"https://doi.org/10.48550/arxiv.2605.13331"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13331","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.13331","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136146091","display_name":"Changwei Tu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu, Changwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136168805","display_name":"Yang (Flora) Liu","orcid":"https://orcid.org/0009-0007-3984-2028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113400378","display_name":"Xianzhao Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Xianzhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136111099","display_name":"Kai Niu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9775000214576721,"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":0.9775000214576721,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.01489999983459711,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.0006000000284984708,"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/polar-code","display_name":"Polar code","score":0.7347999811172485},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.698199987411499},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5943999886512756},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.5297999978065491},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5041000247001648},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4406000077724457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4034999907016754},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.3806000053882599}],"concepts":[{"id":"https://openalex.org/C2778396592","wikidata":"https://www.wikidata.org/wiki/Q7209069","display_name":"Polar code","level":3,"score":0.7347999811172485},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.698199987411499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287999749183655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6155999898910522},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5943999886512756},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5041000247001648},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38999998569488525},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.35589998960494995},{"id":"https://openalex.org/C117011727","wikidata":"https://www.wikidata.org/wiki/Q1278488","display_name":"Bit (key)","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3280999958515167},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.3082999885082245},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.27970001101493835},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.2784000039100647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2597000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13331","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.13331","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5657486915588379,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Blind":[0],"recognition":[1,13,51,158,169],"of":[2,74],"polar":[3,60,183],"codes":[4,61],"remains":[5],"challenging":[6],"in":[7,41,79],"non-cooperative":[8],"scenarios,":[9],"particularly":[10],"for":[11,59,140],"information-set":[12,145],"with":[14,62],"known":[15,63],"code":[16,64],"length.":[17,65],"Existing":[18],"methods":[19],"mainly":[20],"rely":[21],"on":[22,105],"threshold":[23],"decisions":[24],"determined":[25],"by":[26],"the":[27,38,70,108,114,127,135,144,149,157,164,168,173,178,193],"generator-matrix":[28],"structure":[29],"and":[30,76,116,132,181],"channel":[31],"bit":[32,121],"error":[33],"probability,":[34],"without":[35],"fully":[36],"exploiting":[37],"soft":[39],"information":[40,77,97],"received":[42,87],"signals.":[43],"In":[44],"this":[45,106],"letter,":[46],"we":[47],"propose":[48],"a":[49],"blind":[50],"method":[52,68,195],"using":[53,126],"successive":[54],"cancellation":[55],"list":[56,174],"(SCL)":[57],"decoding":[58],"The":[66],"proposed":[67,165],"exploits":[69],"distinct":[71],"statistical":[72],"behaviors":[73],"frozen":[75,89],"bits":[78,90,98],"source-side":[80],"decision":[81],"log-likelihood":[82],"ratios":[83],"(LLRs)":[84],"over":[85,192],"multiple":[86],"vectors:":[88],"tend":[91],"to":[92,148],"favor":[93],"zero":[94],"decisions,":[95],"whereas":[96],"exhibit":[99],"nearly":[100],"equiprobable":[101],"$0/1$":[102],"decisions.":[103],"Based":[104],"property,":[107],"decoder":[109],"expands":[110],"candidate":[111],"paths":[112,139],"under":[113],"frozen-bit":[115],"information-bit":[117],"hypotheses":[118],"at":[119,187],"each":[120],"position,":[122],"evaluates":[123],"their":[124],"reliabilities":[125],"corresponding":[128,147],"average":[129],"path":[130,153],"metrics,":[131],"retains":[133],"only":[134],"$L_{\\mathrm{list}}$":[136],"most":[137,150],"reliable":[138,151],"subsequent":[141],"recognition.":[142],"Finally,":[143],"pattern":[146],"surviving":[152],"is":[154],"selected":[155],"as":[156,172],"result.":[159],"Simulation":[160],"results":[161],"show":[162],"that":[163],"scheme":[166],"improves":[167],"success":[170],"rate":[171],"size":[175],"increases.":[176],"For":[177],"$(32,16)$,":[179],"$(64,32)$,":[180],"$(128,64)$":[182],"codes,":[184],"it":[185],"achieves":[186],"least":[188],"$2.5$":[189],"dB":[190],"gain":[191],"previous":[194],"when":[196],"$L_{\\mathrm{list}}=64$.":[197]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-15T00:00:00"}