Semantic Communication Through the Lens of Context-Dependent Channel Modeling

Fuente: arXiv
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Auteurs principaux: Gholipour, Javad, Schaefer, Rafael F., Fettweis, Gerhard P.
Format: Preprint
Publié: 2026
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author Gholipour, Javad
Schaefer, Rafael F.
Fettweis, Gerhard P.
author_facet Gholipour, Javad
Schaefer, Rafael F.
Fettweis, Gerhard P.
contents Semantic communication has emerged as a promising paradigm for next-generation networks, yet several fundamental challenges remain unresolved. Building on the probabilistic model of semantic communication and leveraging the concept of context, this paper examines a specific subclass of semantic communication problems, where semantic noise originates solely from the semantic channel, assuming an ideal physical channel. To model this system, we introduce a virtual state-dependent channel, where the state-representing context-plays a crucial role in shaping communication. We further analyze the representational capability of the semantic encoder and explore various semantic communication scenarios in the presence of semantic noise, deriving capacity results for some cases and achievable rates for others.
format Preprint
id arxiv_https___arxiv_org_abs_2602_22934
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Semantic Communication Through the Lens of Context-Dependent Channel Modeling
Gholipour, Javad
Schaefer, Rafael F.
Fettweis, Gerhard P.
Information Theory
Semantic communication has emerged as a promising paradigm for next-generation networks, yet several fundamental challenges remain unresolved. Building on the probabilistic model of semantic communication and leveraging the concept of context, this paper examines a specific subclass of semantic communication problems, where semantic noise originates solely from the semantic channel, assuming an ideal physical channel. To model this system, we introduce a virtual state-dependent channel, where the state-representing context-plays a crucial role in shaping communication. We further analyze the representational capability of the semantic encoder and explore various semantic communication scenarios in the presence of semantic noise, deriving capacity results for some cases and achievable rates for others.
title Semantic Communication Through the Lens of Context-Dependent Channel Modeling
topic Information Theory
url https://arxiv.org/abs/2602.22934