Latent Space Alignment for Semantic Channel Equalization

Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati
5/22/2024
cs.LGcs.CLcs.IT

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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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Cite this paper

@article{httebrucker2024latent,
  title  = {Latent Space Alignment for Semantic Channel Equalization},
  author = {Tomás Hüttebräucker and Mohamed Sana and Emilio Calvanese Strinati},
  year   = {2024},
  eprint = {2405.13511},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.13511v2}
}

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