Unveiling Covert Semantics: Joint Source-Channel Coding Under a Covertness Constraint

Fuente: arXiv
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Autores principales: Bounhar, Abdelaziz, Sarkiss, Mireille, Wigger, Michèle
Formato: Preprint
Publicado: 2024
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author Bounhar, Abdelaziz
Sarkiss, Mireille
Wigger, Michèle
author_facet Bounhar, Abdelaziz
Sarkiss, Mireille
Wigger, Michèle
contents The fundamental limit of Semantic Communications (joint source-channel coding) is established when the transmission needs to be kept covert from an external warden. We derive information-theoretic achievability and matching converse results and we show that source and channel coding separation holds for this setup. Furthermore, we show through an experimental setup that one can train a deep neural network to achieve covert semantic communication for the classification task. Our numerical experiments confirm our theoretical findings, which indicate that for reliable joint source-channel coding the number of transmitted source symbols can only scale as the square-root of the number of channel uses.
format Preprint
id arxiv_https___arxiv_org_abs_2406_13466
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Unveiling Covert Semantics: Joint Source-Channel Coding Under a Covertness Constraint
Bounhar, Abdelaziz
Sarkiss, Mireille
Wigger, Michèle
Information Theory
The fundamental limit of Semantic Communications (joint source-channel coding) is established when the transmission needs to be kept covert from an external warden. We derive information-theoretic achievability and matching converse results and we show that source and channel coding separation holds for this setup. Furthermore, we show through an experimental setup that one can train a deep neural network to achieve covert semantic communication for the classification task. Our numerical experiments confirm our theoretical findings, which indicate that for reliable joint source-channel coding the number of transmitted source symbols can only scale as the square-root of the number of channel uses.
title Unveiling Covert Semantics: Joint Source-Channel Coding Under a Covertness Constraint
topic Information Theory
url https://arxiv.org/abs/2406.13466