arxiv:2405.13511

Latent Space Alignment for Semantic Channel Equalization

Published on May 22, 2024

Authors:

Mohamed Sana ,

Abstract

A mathematical framework and semantic channel equalization approach are proposed to address semantic distortion in communication between agents using distinct languages in distributed task solving.

AI-generated summary

We relax the constraint of a shared language between agents in a semantic and goal-oriented communication system to explore the effect of language mismatch in distributed task solving. We propose a mathematical framework, which provides a modelling and a measure of the semantic distortion introduced in the communication when agents use distinct languages. We then propose a new approach to semantic channel equalization with proven effectiveness through numerical evaluations.

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