Paper ID: 2405.13511

Latent Space Alignment for Semantic Channel Equalization

Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati

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.

Submitted: May 22, 2024