Author

Zi-Hao Zhang

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Preprint Sep 2026

Adaptive Beam Hopping and Power Control for Dual-Layer Over-the-Air Online Federated Learning in LEO Satellite Networks

This paper investigates over-the-air (OTA) computation enabled online federated learning (FL) in low-Earth orbit (LEO) satellite networks and develops a proximal policy optimization (PPO)-based deep reinforcement learning framework that jointly optimizes adaptive beam hopping and power control.

Zhen-Dong Li, Shao-Jie Wang, Zhou Su et al. · 0 citations