{"id":"https://openalex.org/W7155072206","doi":"https://doi.org/10.48550/arxiv.2604.17999","title":"Polar and Convolutional Codes for the Unequal Message Protection Problem","display_name":"Polar and Convolutional Codes for the Unequal Message Protection Problem","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155072206","doi":"https://doi.org/10.48550/arxiv.2604.17999"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17999","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17999","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.2604.17999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043460294","display_name":"Alexander Sauter","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sauter, Alexander","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064864545","display_name":"Riccardo Schiavone","orcid":"https://orcid.org/0000-0002-5089-7499"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schiavone, Riccardo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134149834","display_name":"Luc\u00eda Balsa Picado","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Picado, Luc\u00eda Balsa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134112471","display_name":"Gianluigi Liva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liva, Gianluigi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043460294"],"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":0.9858999848365784,"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":0.9858999848365784,"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":0.004999999888241291,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.002099999925121665,"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/convolutional-code","display_name":"Convolutional code","score":0.7944999933242798},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7409999966621399},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.6898000240325928},{"id":"https://openalex.org/keywords/coset","display_name":"Coset","score":0.542900025844574},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5045999884605408},{"id":"https://openalex.org/keywords/polar-code","display_name":"Polar code","score":0.4952000081539154},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.47920000553131104},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.47540000081062317}],"concepts":[{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.7944999933242798},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7409999966621399},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.6898000240325928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442999839782715},{"id":"https://openalex.org/C85307737","wikidata":"https://www.wikidata.org/wiki/Q751969","display_name":"Coset","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5123999714851379},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5045999884605408},{"id":"https://openalex.org/C2778396592","wikidata":"https://www.wikidata.org/wiki/Q7209069","display_name":"Polar code","level":3,"score":0.4952000081539154},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.47920000553131104},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C33529081","wikidata":"https://www.wikidata.org/wiki/Q18378194","display_name":"Serial concatenated convolutional codes","level":5,"score":0.40470001101493835},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.3547999858856201},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.3352000117301941},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C2400350","wikidata":"https://www.wikidata.org/wiki/Q1752667","display_name":"Linear code","level":4,"score":0.3255000114440918},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17999","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17999","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.2604.17999","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17999","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":0.5067653656005859,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,12,18,24,48,73,76,91],"design":[4],"of":[5,75],"polar":[6,63,94,100],"and":[7,60,112],"convolutional":[8,58],"coset":[9],"codes":[10,59,95],"for":[11,57,62,116],"unequal":[13],"message":[14,36,49,78],"protection":[15],"(UMP)":[16],"in":[17],"short":[19],"blocklength":[20],"regime,":[21],"to":[22,34,98],"overcome":[23],"rate":[25],"loss":[26],"introduced":[27],"by":[28],"preamble-based":[29],"solutions.":[30],"After":[31],"providing":[32],"conditions":[33],"ensure":[35],"class":[37,50],"disjointness,":[38],"a":[39,52,110],"two-step":[40],"decoding":[41,71],"architecture":[42],"is":[43],"proposed:":[44],"it":[45],"first":[46],"identifies":[47],"via":[51],"likelihood":[53,70],"ratio":[54],"test--computable":[55],"exactly":[56],"approximated":[61],"codes--and":[64],"subsequently":[65],"performs":[66],"maximum":[67],"(or":[68],"near)":[69],"among":[72],"codewords":[74],"chosen":[77],"class.":[79],"Numerical":[80],"results":[81],"show":[82],"that":[83],"our":[84],"construction":[85],"closely":[86],"tracks":[87],"finite-length":[88],"benchmarks.":[89],"Specifically,":[90],"analyzed":[92],"CRC-aided":[93],"perform":[96],"comparable":[97],"existing":[99],"code":[101,106],"approaches,":[102],"without":[103],"requiring":[104],"specific":[105],"design,":[107],"while":[108],"offering":[109],"robust":[111],"spectrally":[113],"efficient":[114],"solution":[115],"UMP":[117],"scenarios.":[118]},"counts_by_year":[],"updated_date":"2026-04-22T06:07:44.442478","created_date":"2026-04-22T00:00:00"}