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Author

Jingjing Yang

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2026

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...

Jun-Wei Li, Ming Huang, Jing-Jing Yang et al. · 0 citations
2026

Few-Sample GNSS Environment Recognition via LLM-Based Physical-Semantic Distillation and Test-Time Adaptation

Global Navigation Satellite System (GNSS) environment recognition is important for enhancing positioning reliability and context awareness in complex urban and natural scenes. However, existing methods predominantly rely on signal features and necessitate extensive labeled datasets, compromising their robustness in lab...

Qi Yao, Tong Yang, Jingjing Yang et al. · 0 citations
Open access 2026

Capacity Maximization for 6DMA- and STAR-RIS-Enhanced Wireless Networks via Spatial Multiplexing and Directional Modulation

Simulation results show that the proposed method can significantly improve the sum rate of users as compared to benchmark with FPA + Optimized STAR-RIS, 6DMA + Random STAR-RIS, and FPA + Random STAR-RIS.

Yuewei Wu, Ming-Hao Chen, Jing-Jing Yang et al. · 0 citations

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