AdaPTwin proposes an adaptive multi-fidelity network digital twin with cloud-edge architecture, transformer-based trajectory prediction, and ray-tracing to enable proactive radio resource management in vehicular networks.
Multimodal Fusion-Based Channel Prediction and Charac- terization for mmWave UA V A2G Communications,
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AdaPTwin: Adaptive Multi-Fidelity Predictive Digital Twin for Proactive Radio Resource Management in Vehicular Networks
AdaPTwin proposes an adaptive multi-fidelity network digital twin with cloud-edge architecture, transformer-based trajectory prediction, and ray-tracing to enable proactive radio resource management in vehicular networks.