Latent Space Alignment for Semantic Channel Equalization

Tomás Hüttebräucker; Mohamed Sana; Emilio Calvanese Strinati

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arXiv · 2405.13511

Latent Space Alignment for Semantic Channel Equalization

Tomás Hüttebräucker·Mohamed Sana·Emilio Calvanese Strinati

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Abstract

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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Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati. 2024-05-22. Latent Space Alignment for Semantic Channel Equalization. https://arxiv.org/abs/2405.13511

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