[HTML][HTML] 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 …
and utilization of underutilized frequency bands. Convolutional neural networks (CNNs) and …
Deep learning approaches for spectrum sensing in cognitive radio networks
The number of network devices continues to rise as we advance towards 6G communication
systems. A new range of frequencies is allocated while the earlier resources remain …
systems. A new range of frequencies is allocated while the earlier resources remain …
Spectrum sensing beyond 5G system: deep learning and conventional techniques analysis
A Kumar - Multimedia Tools and Applications, 2025 - Springer
The increase in wireless radio applications required a large amount of spectrum to provide a
high quality of services and continuous access. The scarcity of the spectrum is one of the …
high quality of services and continuous access. The scarcity of the spectrum is one of the …
Skewness and access kurtosis as denoised mixed features-based K-Medoids for cooperative spectrum sensing
A traditional cooperative spectrum sensing system based on the energy features of random
matrix theory does not function well when the signal-to-noise ratio is low in the Gaussian …
matrix theory does not function well when the signal-to-noise ratio is low in the Gaussian …
Spectrum sensing in cognitive radio for internet of things using deep learning models
Y Mishra, VS Chaudhary - SAMRIDDHI: A Journal of Physical …, 2023 - smsjournals.com
An intelligent wireless communication system capable of learning from its surroundings is
called cognitive radio. It permits Secondary Users to reuse the radio resources that are …
called cognitive radio. It permits Secondary Users to reuse the radio resources that are …