Multiobjective Reinforcement Learning Based Energy Consumption in C-RAN enabled Massive MIMO

Multiobjective Reinforcement Learning Based Energy Consumption in C-RAN enabled Massive MIMO

Multiobjective optimization has become a suitable method to resolve conflicting objectives and enhance the performance evaluation of wireless networks. In this study, we consider a multiobjective reinforcement learning (MORL) approach for the resource allocation and energy consumption in C-RANs. We...

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Bibliographic Details
Main Authors: S. Sharma, W. Yoon
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2022-04-01
Series:Radioengineering
Subjects:
convergence
energy consumption
reinforcement learning
reward
optimization
Online Access:https://www.radioeng.cz/fulltexts/2022/22_01_0155_0163.pdf

Internet

https://www.radioeng.cz/fulltexts/2022/22_01_0155_0163.pdf

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