Latent Space Alignment for Semantic Channel Equalization

• URL: http://arxiv.org/abs/2405.13511v2
• Date: Tue, 4 Jun 2024 10:13:13 GMT
• Title: Latent Space Alignment for Semantic Channel Equalization
• Authors: Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati,
• Abstract summary: We relax the constraint of a shared language between agents in a semantic and goal-oriented communication system. 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.
• Score: 3.266331042379877
• License: http://creativecommons.org/licenses/by/4.0/
• 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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