A hierarchical GNN-RL framework for joint beamforming and trajectory optimization in multi-UAV systems outperforms baselines in sum rate, convergence, and generalization.
UA V-relay-aided secure maritime networks coe xisting with satellite networks: Robust beamforming and trajector y optimiza- tion,
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Hybrid semantic-bit communications in UAV WPT networks are jointly optimized with decision-assisted DSAC to maximize semantic efficiency under varying SNR and tasks.
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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.
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Hybrid Bit and Semantic Communications for UAV-Enabled Wireless Power Transfer Networks: A Decision-Assisted Deep Reinforcement Learning Approach
Hybrid semantic-bit communications in UAV WPT networks are jointly optimized with decision-assisted DSAC to maximize semantic efficiency under varying SNR and tasks.