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...