Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving

Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving

This paper addresses the power saving problem in mobile networks. Base station (BS) power and network traffic volume (NTV) models are first established. The BS power is modeled based on in-house equipment measurement by sampling different BS load configurations. The NTV model is built based on traff...

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Bibliographic Details
Main Authors: Shangbin Wu, Yue Wang, Lu Bai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Power saving
deep convolutional neural network
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9094184/

Internet

https://ieeexplore.ieee.org/document/9094184/

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