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.
@article{arxiv.2405.13511,
title = {Latent Space Alignment for Semantic Channel Equalization},
author = {Tomás Hüttebräucker and Mohamed Sana and Emilio Calvanese Strinati},
journal= {arXiv preprint arXiv:2405.13511},
year = {2024}
}