Two-Class Joint Source-Channel Coding: Expurgated Exponents with i.i.d. Distributions
Information Theory
2026-01-22 v1 math.IT
Abstract
This paper studies expurgated exponents for joint source-channel coding of discrete memoryless sources and channels under i.i.d. random coding. We show that a two-class partitioning of source sequences, where the codeword distribution depends on the source type, achieves an exponent at least as high as that of optimal single-class coding, in which the codeword distribution is independent of the source message.
Cite
@article{arxiv.2601.14985,
title = {Two-Class Joint Source-Channel Coding: Expurgated Exponents with i.i.d. Distributions},
author = {Seyed AmirPouya Moeini and Albert Guillén i Fàbregas},
journal= {arXiv preprint arXiv:2601.14985},
year = {2026}
}