The content discusses the critical role of the SSB in 5G networks and introduces a double-threshold deep learning jamming detector. The method focuses on RF domain features, improves network robustness, and achieves a high detection rate. By leveraging preprocessing blocks and Discrete Wavelet Transform, the proposed technique outperforms existing methods.
Traditional jamming detection methods are compared to the new approach, highlighting the importance of RF domain knowledge. The study showcases significant improvements in detection rates under various scenarios, emphasizing the need for advanced techniques to combat evolving threats in wireless communications.
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by Ghazal Asemi... at arxiv.org 03-06-2024
https://arxiv.org/pdf/2403.02645.pdfDeeper Inquiries