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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Min Jiang

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2 papers indexed here

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Sep 2026

Receiver-Aware Jamming Classification for OFDM Systems via Multi-Channel Signal Representation

Accurate jamming classification is essential for reliable orthogonal frequency division multiplexing (OFDM) systems, especially under low jamming-to-noise ratio (JNR) conditions where weak interference is difficult to detect. Existing approaches mainly rely on time-frequency representations (TFR), which discard phase i...

Yu-Qing Zhang, Min Jiang, Zi-Qiang Ye et al. · 0 citations
Sep 2026

Knowledge-Distilled Neural Receiver for Jamming-Resistant OFDM-Based Low-Altitude Networks

Reliable reception in orthogonal frequencydivision multiplexing (OFDM)-based low-altitude communication networks remains challenging, as unmanned aerial vehicles may be exposed to rapidly time-varying and severe jamming. Although deep learning-based receivers such as DeepRx demonstrate strong robustness, their high com...

Hong-Yu He, Zi-Qiang Ye, Min Jiang et al. · 0 citations

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