Scalable AP Clustering With Deep Reinforcement Learning for Cell-Free Massive MIMO

Scalable AP Clustering With Deep Reinforcement Learning for Cell-Free Massive MIMO

Cell-free massive MIMO (CF-mMIMO) is a promising approach for future mobile networks, utilizing centralized MIMO processing for densely distributed access points (APs). In CF-mMIMO, to reduce the computational load for signal processing while meeting throughput demands, user equipment (UEs) are serv...

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Bibliographic Details
Main Authors: Yu Tsukamoto, Akio Ikami, Takahide Murakami, Amr Amrallah, Hiroyuki Shinbo, Yoshiaki Amano
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Cell-free massive MIMO
access point clustering
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10892255/
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