A hierarchical GNN-RL framework for joint beamforming and trajectory optimization in multi-UAV systems outperforms baselines in sum rate, convergence, and generalization.
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Two-Layer Reinforcement Learning-Assisted Joint Beamforming and Trajectory Optimization for Multi-UAV Downlink Communications
A hierarchical GNN-RL framework for joint beamforming and trajectory optimization in multi-UAV systems outperforms baselines in sum rate, convergence, and generalization.