Optimization of IRS-NOMA-Assisted Cell-Free Massive MIMO Systems Using Deep Reinforcement Learning

Optimization of IRS-NOMA-Assisted Cell-Free Massive MIMO Systems Using Deep Reinforcement Learning

We consider the use of multiple intelligent reflecting surfaces (IRSs) in cell-free massive MIMO (CFMM) systems to improve signal quality. However, pilot contamination can occur when multiple users reuse the same pilot sequences, which can lead to performance degradation. To address the issue, a tec...

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Bibliographic Details
Main Authors: Xuan-Toan Dang, Hieu V. Nguyen, Oh-Soon Shin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cell-free massive multiple-input multiple-output (CFMM)
optimization
intelligent reflecting surface (IRS)
non-orthogonal multiple access (NOMA)
user pairing
deep deterministic policy gradient (DDPG)
Online Access:https://ieeexplore.ieee.org/document/10234415/

Internet

https://ieeexplore.ieee.org/document/10234415/

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