Introduces a stabilized element-wise rate estimation method deriving deterministic equivalents for downlink ergodic rates in clustered cell-free networks, with relative error below 6%.
Energy-efficient clustered cell- free networking with access point selection
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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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.
citing papers explorer
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SERE: A Stabilized Element-Wise Method for Downlink Rate Estimation in Clustered Cell-Free Networks
Introduces a stabilized element-wise rate estimation method deriving deterministic equivalents for downlink ergodic rates in clustered cell-free networks, with relative error below 6%.
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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.