1 Citation (Scopus)

Abstract

Deep Semantic Communication (DSC) has emerged as a promising paradigm within the rapidly evolving landscape of digital communication. However, its potential in impulsive noise environments - a significant challenge to transmission reliability - has never been explored before. This letter addresses this gap by proposing IN-DeepSC, a DSC architecture specifically designed to mitigate impulsive noise. We introduce a novel empirical approach to evaluate the mutual information (MI) conveyed by IN-DeepSC, demonstrating its superior performance compared to traditional bit-based communication systems and the original popular DeepSC model. Our findings highlight DSC's ability to exceed the Shannon capacity limit in challenging noise conditions, positioning it as a transformative technology for future communication systems.

Original languageEnglish
Pages (from-to)148-152
Number of pages5
JournalIEEE Wireless Communications Letters
Volume14
Issue number1
DOIs
Publication statusPublished - 2025

!!!Keywords

  • Semantic communication
  • channel capacity
  • deep learning
  • impulsive noise

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