A DRL-based framework for clustered cell-free networking reduces channel estimation overhead to a single measurement per AP and adapts to user mobility, outperforming prior clustering methods in simulations across multiple objectives.
Complexity-constrained clustered cell-free network- ing for sum capacity maximization,
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Leveraging Deep Reinforcement Learning for Clustered Cell-Free Networking Over User Mobility
A DRL-based framework for clustered cell-free networking reduces channel estimation overhead to a single measurement per AP and adapts to user mobility, outperforming prior clustering methods in simulations across multiple objectives.