Ming Huang

RadioLLM-V2: Prototype-Augmented Large Language Models for Few-Shot Cognitive Radio Sensing

Deep learning-based cognitive radio systems achieve strong results on modulation classification and SNR estimation, yet most models remain task-specific and depend on substantial labeled data. Large language models (LLMs) offer a more general interface, but applying them to radio signals requires bridging the gap betwe...