Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks

Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks

In recent years, the demand for new applications using various Internet of Things (IoT) devices has led to an increase in the number of devices connected to wireless networks. However, owing to the limitation of available frequency resources for IoT devices, the degradation of the communication qual...

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Bibliographic Details
Main Authors: Daisuke Yamamoto, Honami Furukawa, Aohan Li, Yusuke Ito, Koya Sato, Koji Oshima, So Hasegawa, Yoshito Watanabe, Yozo Shoji, Song-Ju Kim, Mikio Hasegawa
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Channel selection
low power consumption
massive IoT system
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9808133/

Internet

https://ieeexplore.ieee.org/document/9808133/

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