An Upper Bound on the Reliability Function of Discrete Memoryless Channels

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Abstract

We derive a new upper bound on the reliability function for channel coding over discrete memoryless channels. Our bounding technique relies on two main elements: (i) adding an auxiliary genie-receiver that reveals to the original receiver a list of codewords including the transmitted one, which satisfy a certain type property, and (ii) partitioning (most of) the list into subsets of codewords that satisfy a certain pairwise-symmetry property, which facilitates lower bounding of the average error probability by the pairwise error probability within a subset. We compare the obtained bound to the Shannon-Gallager-Berlekamp straight-line bound, the sphere-packing bound, and an amended version of Blahut's bound. Our bound is shown to be at least as tight for all rates, with cases of stricter tightness in a certain range of low rates, compared to all three aforementioned bounds. Our derivation is performed in a unified manner which is valid for any rate, as well as for a wide class of additive decoding metrics, whenever the corresponding zero-error capacity is zero. We further present a relatively simple function that coincides with our bound for symmetric channels having binary input, and may be regarded as an approximation to the reliability function in other cases. We also present a dual form of the bound, and discuss a looser bound of a simpler form, which is analyzed for the case of the binary symmetric channel with maximum likelihood decoding.

Original languageEnglish
Pages (from-to)3059-3081
Number of pages23
JournalIEEE Transactions on Information Theory
Volume70
Issue number5
DOIs
StatePublished - 1 May 2024

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Keywords

  • Channel coding
  • error exponents
  • maximum likelihood decoding
  • mismatched decoding
  • reliability function

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