Deep Neural Networks for Spectrum Sensing: A Review

Deep Neural Networks for Spectrum Sensing: A Review

As we advance towards 6G communication systems, the number of network devices continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS), Cognitive Radio (CR) exploits the frequency spectrum dynamically by detecting and transmitting in underutilized bands. The perfo...

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Bibliographic Details
Main Authors: Sadaf Nazneen Syed, Pavlos I. Lazaridis, Faheem A. Khan, Qasim Zeeshan Ahmed, Maryam Hafeez, Antoni Ivanov, Vladimir Poulkov, Zaharias D. Zaharis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Autoencoders
cognitive radio
convolutional neural networks (CNNs)
deep learning (DL)
deep neural networks (DNNs)
machine learning (ML)
Online Access:https://ieeexplore.ieee.org/document/10217791/

Internet

https://ieeexplore.ieee.org/document/10217791/

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