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.

翻译：语义通信已成为下一代网络中有前景的范式，但若干基础性挑战仍未解决。本文基于语义通信的概率模型，并利用上下文概念，研究了一类特定的语义通信问题子类，其中语义噪声完全来源于语义信道，并假设物理信道为理想状态。为建模该系统，我们引入了一种虚拟的状态相关信道，其中表征上下文的状态在通信过程中起着关键作用。我们进一步分析了语义编码器的表征能力，并探讨了存在语义噪声时的多种语义通信场景，针对部分情形推导了信道容量结果，对其他情形则给出了可达速率。