Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning

Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning

Cognitive radio has been proposed to improve spectrum utilization in wireless communication. Spectrum sensing is an essential component of cognitive radio. The traditional methods of spectrum sensing are based on feature extraction of a received signal at a given point. The development in artificial...

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Bibliographic Details
Main Authors: Surendra Solanki, Vasudev Dehalwar, Jaytrilok Choudhary, Mohan Lal Kolhe, Koki Ogura
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Spectrum sensing
cognitive radio
deep neural network
convolutional neural network
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/9928262/

Internet

https://ieeexplore.ieee.org/document/9928262/

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