A Deep Reinforcement Learning Based Approach for Energy-Efficient Channel Allocation in Satellite Internet of Things

A Deep Reinforcement Learning Based Approach for Energy-Efficient Channel Allocation in Satellite Internet of Things

Recently, Satellite Internet of Things (SIoT), a space network that consists of numerous Low Earth Orbit (LEO) satellites, is regarded as a promising technique since it is the only solution to provide 100% global coverage for the whole earth, without any additional terrestrial infrastructure support...

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Bibliographic Details
Main Authors: Baokang Zhao, Jiahao Liu, Ziling Wei, Ilsun You
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Energy efficient
channel allocation
artificial intelligence
reinforcement learning
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/9047860/

Internet

https://ieeexplore.ieee.org/document/9047860/

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