Author

Chan-Chan Zhu

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Preprint Nov 2026

Wireless Interference Recognition with Limited Data via Utilizing Diffusion Model

Accurate recognition of interference signals is essential for maintaining the reliability and security of modern wireless communication systems. However, existing approaches face several significant challenges: the high cost and the scarcity of accurately labeled datasets adaptable to diverse environments, coupled with...

Rui Wang, Tong Li, Chan-Chan Zhu et al. · 0 citations

Preprint Nov 2026

Bridging Semantics and Signals: An LLM-Driven MoE Framework for Radio Map Prediction

High-fidelity radio map prediction is essential for wireless network optimization, yet existing single-network models frequently fail to generalize across diverse multi-band and multi-terrain scenarios due to rigid parameter constraints. We introduce LLM-MoE, a framework that employs a divide-and-conquer Mixture-of-Exp...

Qi Yang, Xin-Yue Jiang, Tong Li et al. · 0 citations