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dc.contributor.authorTruong, LV
dc.contributor.authorCocco, G
dc.contributor.authorFont-Segura, J
dc.contributor.authorGuillen I Fabregas, A
dc.date.accessioned2022-02-11T00:31:17Z
dc.date.available2022-02-11T00:31:17Z
dc.date.issued2021
dc.identifier.isbn9781665403122
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/333878
dc.description.abstractThis paper studies the error exponent of i.i.d. randomly generated codes used for transmission over discrete memoryless channels with maximum likelihood decoding. Specifically, this paper shows that the error exponent of a code, defined as the negative normalized logarithm of the probability of error, converges in probability to the typical error exponent. For high rates, the result is a consequence of the fact that the random-coding error exponent and the sphere-packing error exponent coincide. For low rates, instead, the proof of convergence is based on the fact that the union bound accurately characterizes the probability of error.
dc.publisherIEEE
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.titleConcentration of Random-Coding Error Exponents
dc.typeConference Object
dc.publisher.departmentDepartment of Engineering
dc.date.updated2022-02-10T08:51:02Z
prism.endingPage5
prism.publicationDate2021
prism.publicationName2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
prism.startingPage1
prism.volume00
dc.identifier.doi10.17863/CAM.81294
rioxxterms.versionofrecord10.1109/ITW48936.2021.9611426
rioxxterms.versionAM
dc.contributor.orcidGuillen i Fabregas, Albert [0000-0003-2795-1124]
pubs.funder-project-idEuropean Research Council (725411)
cam.issuedOnline2021-11-23
pubs.conference-name2021 IEEE Information Theory Workshop (ITW)
pubs.conference-start-date2021-10-17
cam.depositDate2022-02-10
pubs.conference-finish-date2021-10-21
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement


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