Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

Radio spectrum awareness, including understanding radio signal activities, is crucial for improving spectrum utilization, detecting security vulnerabilities, and supporting adaptive transmissions. Related tasks include spectrum sensing, identifying systems and terminals, and understanding various pr...

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Bibliographic Details
Main Authors: Yu Zhou, Hatim Alhazmi, Mohsen H. Alhazmi, Alhussain Almarhabi, Mofadal Alymani, Mingju He, Shengliang Peng, Abdullah Samarkandi, Zikang Sheng, Huaxia Wang, Yu-Dong Yao
Format: Article
Language:English
Published: Tsinghua University Press 2021-03-01
Series:Intelligent and Converged Networks
Subjects:
cellular system
deep learning
signal classification
spectrum awareness
convolutional neural network (cnn)
Online Access:https://www.sciopen.com/article/10.23919/ICN.2021.0004

Internet

https://www.sciopen.com/article/10.23919/ICN.2021.0004

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