On the Zero-Error Capacity of Semantic Channels with Input and Output Memories
Qi Cao, Yulin Shao, Shangwei Ge

TL;DR
This paper explores the zero-error capacity of semantic channels with memory, extending classical models to better understand error-free communication in systems with complex memory structures.
Contribution
It introduces a new semantic channel model with multiple input and output memories, advancing the analysis of zero-error capacity in channels with memory.
Findings
Semantic channels with memory have higher zero-error capacities.
Memory impacts the capacity and error-free communication strategies.
The framework offers a detailed understanding of semantic channel behavior.
Abstract
This paper investigates the zero-error capacity of channels with memory. Motivated by the nuanced requirements of semantic communication that incorporate memory, we advance the classical enlightened dictator channel by introducing a new category known as the semantic channel. We analyze the zero-error capacity of the semantic channel using a comprehensive framework that accommodates multiple input and output memories. Our approach reveals a more sophisticated and detailed model compared to the classical memory channels, highlighting the impact of memory on achieving error-free communication.
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Taxonomy
TopicsFerroelectric and Negative Capacitance Devices · Advanced Memory and Neural Computing · Neural Networks and Applications
