Dynamic Power Allocation for Cell-Free Massive MIMO: Deep Reinforcement Learning Methods

Dynamic Power Allocation for Cell-Free Massive MIMO: Deep Reinforcement Learning Methods

Power allocation plays a central role in cell-free (CF) massive multiple-input multiple-output (MIMO) systems. Many effective methods, e.g., the weighted minimum mean square error (WMMSE) algorithm, have been developed for optimizing the power allocation. Since the state of the channels evolves in t...

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Bibliographic Details
Main Authors: Yu Zhao, Ignas G. Niemegeers, Sonia M. Heemstra De Groot
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Cell-free massive MIMO
deep reinforcement learning
deep Q-network
deep deterministic policy gradient
power allocation
Online Access:https://ieeexplore.ieee.org/document/9483914/

Internet

https://ieeexplore.ieee.org/document/9483914/

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