Multi‐agent deep reinforcement learning‐based energy efficient power allocation in downlink MIMO‐NOMA systems

Multi‐agent deep reinforcement learning‐based energy efficient power allocation in downlink MIMO‐NOMA systems

Abstract NOMA and MIMO are considered to be the promising technologies to meet huge access demands and high data rate requirements of 5G wireless networks. In this paper, the power allocation problem in a downlink MIMO‐NOMA system to maximize the energy efficiency while ensuring the quality‐of‐servi...

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Bibliographic Details
Main Authors: Sonnam Jo, Chol Jong, Changsop Pak, Hakchol Ri
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:IET Communications
Subjects:
Multiple access communication
Mobile radio systems
Optimisation techniques
Communications computing
Telecommunication systems (energy utilisation)
Online Access:https://doi.org/10.1049/cmu2.12177

Internet

https://doi.org/10.1049/cmu2.12177

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