5 papers · 1 filter
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…
Integrating Optimization Theory with Deep Learning for Wireless Network Design
Sinem Coleri, Aysun Gurur Onalan, Marco di Renzo
Traditional wireless network design relies on optimization algorithms derived from domain-specific mathematical models, which are often inefficient and unsuitable for dynamic, real…
Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications
Nasir Khan, Sinem Coleri
Future 6G-enabled vehicular networks face the challenge of ensuring ultra-reliable low-latency communication (URLLC) for delivering safety-critical information in a timely manner.…
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection
M. Saeid HaghighiFard, Sinem Coleri
Hierarchical Federated Learning (HFL) faces the significant challenge of adversarial or unreliable vehicles in vehicular networks, which can compromise the model's integrity throug…
Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
Aysun Gurur Onalan, Berkay Kopru, Sinem Coleri
Radio Frequency Energy Harvesting (RF-EH) networks are key enablers of massive Internet-of-things by providing controllable and long-distance energy transfer to energy-limited devi…