A distributed Q-learning algorithm optimizes trajectories, power, and sub-channel allocation for multi-ABS networks to maximize sum-rate.
The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells,
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Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations
A distributed Q-learning algorithm optimizes trajectories, power, and sub-channel allocation for multi-ABS networks to maximize sum-rate.