Large deviations behavior of the logarithmic error probability of random codes

dc.contributor.authorTamir, Ran
dc.contributor.authorMerhav, Neri
dc.contributor.authorWeinberger, Nir
dc.contributor.authorGuillén i Fábregas, A. (Albert)
dc.date.accessioned2021-04-21T08:35:54Z
dc.date.issued2020
dc.description.abstractThis work studies the deviations of the error exponent of the constant composition code ensemble around its expectation, known as the error exponent of the typical random code (TRC). In particular, it is shown that the probability of randomly drawing a codebook whose error exponent is smaller than the TRC exponent is exponentially small; upper and lower bounds for this exponent are given, which coincide in some cases. In addition, the probability of randomly drawing a codebook whose error exponent is larger than the TRC exponent is shown to be double-exponentially small; upper and lower bounds to the double-exponential exponent are given. The results suggest that codebooks whose error exponent is larger than the error exponent of the TRC are extremely rare. The key ingredient in the proofs is a new large deviations result of type class enumerators with dependent variables.
dc.description.sponsorshipThe research of R. Tamir and N. Merhav was supported by Israel Science Foundation (ISF) grant no. 137/18. The research of N. Weinberger was partially supported by the MIT–Technion fellowship, and the Viterbi scholarship, Technion. The research of A. Guillen i F ´ abregas was funded in part by the European Research Council under ERC grant 725411 and by the Spanish Ministry of Economy and Competitiveness under grant TEC2016-78434-C3-1-R. This paper was presented in part at the 2019 IEEE International Symposium on Information Theory, Paris, France, 7-12 July, 2019.
dc.format.mimetypeapplication/pdf
dc.identifier.citationTamir R, Merhav N, Weinberger N, Guillén i Fàbregas A. Large deviations behavior of the logarithmic error probability of random codes. IEEE Trans Inf Theory. 2020;66(11):6635-59. DOI: 10.1109/TIT.2020.2995136
dc.identifier.doihttp://dx.doi.org/10.1109/TIT.2020.2995136
dc.identifier.issn0018-9448
dc.identifier.urihttp://hdl.handle.net/10230/47176
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Information Theory. 2020;66(11):6635-59
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/725411
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2016-78434-C3-1-R
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/TIT.2020.2995136
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordError exponent
dc.subject.keywordExpurgated exponent
dc.subject.keywordLarge deviations
dc.subject.keywordTypical random code
dc.titleLarge deviations behavior of the logarithmic error probability of random codes
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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