channel state information 1foundation models 1low-rank adaptation 1masked autoencoders 1self-supervised learning 1
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cs.LG2025
Multi-Modal Sensor Fusion for Proactive Blockage Prediction in mmWave Vehicular Networks
Ahmad M. Nazar, Abdulkadir Celik, Mohamed Y. Selim +3
Vehicular communication systems operating in the millimeter wave (mmWave) band are highly susceptible to signal blockage from dynamic obstacles such as vehicles, pedestrians, and i…
cs.LG2025
Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2
In line with the AI-native 6G vision, explainability and robustness are crucial for building trust and ensuring reliable performance in millimeter-wave (mmWave) systems. Efficient…