Improving Energy Efficiency Fairness of Wireless Networks: A Deep Learning Approach

Improving Energy Efficiency Fairness of Wireless Networks: A Deep Learning Approach

Achieving energy efficiency (EE) fairness among heterogeneous mobile devices will become a crucial issue in future wireless networks. This paper investigates a deep learning (DL) approach for improving EE fairness performance in interference channels (IFCs) where multiple transmitters simultaneously...

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Bibliographic Details
Main Authors: Hoon Lee, Han Seung Jang, Bang Chul Jung
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Energies
Subjects:
energy efficiency fairness
wireless networks
power control
interference channels
deep learning
unsupervised learning
deep neural networks
Online Access:https://www.mdpi.com/1996-1073/12/22/4300

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