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 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 language | English |
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Title of host publication | 2023 IEEE Information Theory Workshop, ITW 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 53-58 |
Number of pages | 6 |
ISBN (Electronic) | 9798350301496 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE Information Theory Workshop, ITW 2023 - Saint-Malo, France Duration: 23 Apr 2023 → 28 Apr 2023 |
Publication series
Name | 2023 IEEE Information Theory Workshop, ITW 2023 |
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Conference
Conference | 2023 IEEE Information Theory Workshop, ITW 2023 |
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Country/Territory | France |
City | Saint-Malo |
Period | 23/04/23 → 28/04/23 |
Bibliographical note
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