Analysis of spectrum sensing using deep learning algorithms: CNNs and RNNs

Analysis of spectrum sensing using deep learning algorithms: CNNs and RNNs

Spectrum sensing is a critical component of cognitive radio systems, enabling the detection and utilization of underutilized frequency bands. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs), in particular, have showed promise in recent years for enhancing the precision and...

Full description

Bibliographic Details
Main Authors: Arun Kumar, Nishant Gaur, Sumit Chakravarty, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Ain Shams Engineering Journal
Subjects:
CNNs
RNNs
Spectrum sensing
Probability of false alarm
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447923003945

Internet

http://www.sciencedirect.com/science/article/pii/S2090447923003945

Similar Items