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 language | English |
|---|---|
| Pages (from-to) | 148-152 |
| Number of pages | 5 |
| Journal | IEEE Wireless Communications Letters |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2025 |
!!!Keywords
- Semantic communication
- channel capacity
- deep learning
- impulsive noise
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