Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach

Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach

Abstract Cell-free massive multiple-input multiple-output (CF-mMIMO) has attracted considerable attention due to its potential for delivering high data rates and energy efficiency (EE). In this paper, we investigate the resource allocation of downlink in CF-mMIMO systems. A hierarchical depth determ...

Full description

Bibliographic Details
Main Authors: Fangqing Tan, Quanxuan Deng, Qiang Liu
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Cell-free massive MIMO
Access points clustering
Power allocation
Energy efficiency, hierarchical deep deterministic policy gradient
Online Access:https://doi.org/10.1186/s13634-024-01111-9

Internet

https://doi.org/10.1186/s13634-024-01111-9

Similar Items