Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning

In a cell-free network, a large number of mobile devices are served simultaneously by several base stations (BSs)/access points(APs) using the same time/frequency resources. However, this creates high signal processing demands (e.g., for beamforming) at the transmitters and receivers. In this work,...

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Vydané v:	IEEE transactions on cognitive communications and networking Ročník 8; číslo 2; s. 1186 - 1201
Hlavní autori:	Fredj, Firas, Al-Eryani, Yasser, Maghsudi, Setareh, Akrout, Mohamed, Hossain, Ekram
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Array signal processing Beamforming Cell-free network Central processing units Clustering algorithms Complexity Computer architecture CPUs deep deterministic policy gradient algorithm (DDPG) Deep learning deep reinforcement learning (DRL) distributed distributional deterministic policy gradients algorithm (D4PG) Electronic devices Machine learning Probability density function Radio equipment Signal processing Signal processing algorithms successive interference cancellation Transmitters Uplink Uplinking Wireless networks
ISSN:	2332-7731, 2332-7731
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