Zhanyu Ju

ML-Based Hierarchical Prediction for Practical Energy Scheduling in Dynamic NTN-WPT Systems

A multi-agent deep learning model is introduced that integrates a self-attention mechanism with multi-agent proximal policy optimization (MAPPO) that provides a robust and efficient solution for WPT in NTNs, particularly for mission-critical scenarios.