{"id":"https://openalex.org/W4382365056","doi":"https://doi.org/10.1109/itw55543.2023.10161668","title":"Error Exponents of the Dirty-Paper and Gel\u2019fand-Pinsker Channels","display_name":"Error Exponents of the Dirty-Paper and Gel\u2019fand-Pinsker Channels","publication_year":2023,"publication_date":"2023-04-23","ids":{"openalex":"https://openalex.org/W4382365056","doi":"https://doi.org/10.1109/itw55543.2023.10161668"},"language":"en","primary_location":{"id":"doi:10.1109/itw55543.2023.10161668","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itw55543.2023.10161668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Information Theory Workshop (ITW)","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/A5036728461","display_name":"Ran Tamir","orcid":"https://orcid.org/0000-0002-8291-6092"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ran Tamir","raw_affiliation_strings":["ETH Zürich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"],"affiliations":[{"raw_affiliation_string":"ETH Zürich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028774270","display_name":"Neri Merhav","orcid":"https://orcid.org/0000-0002-9547-3243"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Neri Merhav","raw_affiliation_strings":["Technion – Israel Institute of Technology,Andrew & Erna Viterbi Faculty of Electrical and Computer Engineering,Technion City, Haifa,Israel,32000"],"affiliations":[{"raw_affiliation_string":"Technion – Israel Institute of Technology,Andrew & Erna Viterbi Faculty of Electrical and Computer Engineering,Technion City, Haifa,Israel,32000","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036728461"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0589413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"272","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998000264167786,"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":0.9994000196456909,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.6357161998748779},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5858482718467712},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5535043478012085},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5198855400085449},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5180947184562683},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5124876499176025},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.505795955657959},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48986122012138367},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.45214328169822693},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.4490533471107483},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.43358489871025085},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4313998520374298},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.429238498210907},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.42883479595184326},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4172012209892273},{"id":"https://openalex.org/keywords/probability-of-error","display_name":"Probability of error","score":0.4117990732192993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32057178020477295},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21661421656608582},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11454549431800842},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07977718114852905}],"concepts":[{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.6357161998748779},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5858482718467712},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5535043478012085},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5198855400085449},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5180947184562683},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5124876499176025},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.505795955657959},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48986122012138367},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.45214328169822693},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.4490533471107483},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.43358489871025085},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4313998520374298},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.429238498210907},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42883479595184326},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4172012209892273},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.4117990732192993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32057178020477295},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21661421656608582},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11454549431800842},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07977718114852905},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw55543.2023.10161668","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itw55543.2023.10161668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1503422010","https://openalex.org/W1976109068","https://openalex.org/W1986389751","https://openalex.org/W2025341518","https://openalex.org/W2096667287","https://openalex.org/W2107746953","https://openalex.org/W2132381936","https://openalex.org/W2134985829","https://openalex.org/W2164456063","https://openalex.org/W2167577564","https://openalex.org/W2962746504","https://openalex.org/W3169111758","https://openalex.org/W6656886798"],"related_works":["https://openalex.org/W2121323749","https://openalex.org/W3212925274","https://openalex.org/W3124771927","https://openalex.org/W4225940264","https://openalex.org/W2750125254","https://openalex.org/W1801046103","https://openalex.org/W2111510771","https://openalex.org/W2057609120","https://openalex.org/W2889544313","https://openalex.org/W2939693078"],"abstract_inverted_index":{"We":[0],"derive":[1,33],"various":[2],"error":[3,37,46,75,174],"exponents":[4,38,47],"for":[5,71,130,141,170],"communication":[6],"channels":[7],"with":[8],"random":[9,34,42,73,104,144,172],"states,":[10],"which":[11,62],"are":[12,113,120],"available":[13],"non-causally":[14],"at":[15,69,89,168],"the":[16,21,29,40,52,72,78,93,97,103,109,124,132,136,151,171],"encoder":[17],"only.":[18],"For":[19,51,77,135],"both":[20,121],"finite-alphabet":[22],"Gel\u2019fand-Pinsker":[23,137],"channel":[24,54,133],"and":[25,45,107,118,148],"its":[26],"Gaussian":[27],"counterpart,":[28],"dirty-paper":[30,79,98],"channel,":[31,80,138],"we":[32,56,81,139],"coding":[35,74,105,173],"exponents,":[36],"of":[39,48,96,166],"typical":[41],"codes":[43],"(TRCs),":[44],"expurgated":[49],"codes.":[50],"two":[53],"models,":[55],"analyze":[57],"some":[58],"sub-optimal":[59],"bin-index":[60],"decoders,":[61,167],"turn":[63],"out":[64],"to":[65],"be":[66],"asymptotically":[67,160],"optimal,":[68],"least":[70,169],"exponent.":[76,175],"show":[82],"explicitly":[83],"via":[84],"a":[85,142,163],"numerical":[86],"example,":[87],"that":[88,127,150],"rates":[90],"below":[91],"capacity,":[92],"optimal":[94,125,161],"values":[95],"design":[99],"parameter":[100],"\u03b1":[101,126],"in":[102,108],"sense":[106,112],"TRC":[110],"exponent":[111],"different":[114,122],"from":[115,123],"one":[116],"another,":[117],"they":[119],"is":[128,159],"required":[129],"attaining":[131],"capacity.":[134],"allow":[140],"variable-rate":[143],"binning":[145],"code":[146],"construction,":[147],"prove":[149],"previously":[152],"proposed":[153],"maximum":[154],"penalized":[155],"mutual":[156],"information":[157],"decoder":[158],"within":[162],"given":[164],"class":[165]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}