Spectrum Sensing in Cognitive Radio Networks using Deep learning

S Jeevangi, J Sunita, S Jawaligi… - 2023 International …, 2023 - ieeexplore.ieee.org
In order to identify and make use of unused, underused frequency bands, cognitive radio
(CR) makes extensive use of spectrum sensing (SS). Successful implementations of CR rely …

Applying classification methods for spectrum sensing in cognitive radio networks: an empirical study

N Basumatary, N Sarma, B Nath - Advances in Electronics …, 2018 - Springer
Spectrum sensing is the paramount aspect of cognitive radio network where a secondary
user is able to utilize the idle channels of the licensed spectrum band in an opportunistic …

A Survey on Cognitive Radio Network Spectrum Sensing using Deep Learning Methods

P Nandhini, S Vimalnath - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
A potential novel strategy for addressing the increasing demand for spectrum sensing in
cognitive radio networks (CRNs) involves utilizing underutilized frequency bands through …

Deep Learning-based SNR Estimation for Multistage Spectrum Sensing in Cognitive Radio Networks

S Jeevangi, S Jawaligi, V Patil - Journal of Telecommunications and …, 2022 - jtit.pl
Vacant frequency bands are used in cognitive radio (CR) by incorporating the spectrum
sensing (SS) technique. Spectrum sharing plays a central role in ensuring the effectiveness …

A centralized cooperative study of spectrum sensing based on energy detection in cognitive radio networks

AH Talib, AH AL-Nakkash, AG Wadday - AIP Conference Proceedings, 2024 - pubs.aip.org
As next-generation wireless communication technologies advance and spectrum resources
become scarcer, Cognitive Radio Networks (CRN) must incorporate learning and reasoning …

Spectrum Sensing based on an improved deep learning classification for cognitive radio

Z Sabrina, T Camel, T Djamal, M Ammar… - 2022 International …, 2022 - ieeexplore.ieee.org
Cognitive Radio (CR) technology enables the efficient exploit of radio spectrum by utilizing
existing unused frequencies. Spectrum Sensing is the most important process in CR by …

Deep learning-based spectrum sensing in cognitive radio

LS Chng - 2023 - dr.ntu.edu.sg
With the increase in demand for spectrum resources, cognitive radio is dependent heavily to
efficiently managing the overwhelming radio spectrum scarcity. To ensure that the spectrum …

5G cognitive radio networks using reliable hybrid deep learning based on spectrum sensing

V Mohanakurup, VS Baghela, S Kumar… - Wireless …, 2022 - Wiley Online Library
Spectrum sensing is critical in allowing the cognitive radio network, which will be used in the
next generation of wireless communication systems. Several approaches, including …

Deep learning approaches for spectrum sensing in cognitive radio networks

SN Syed, PI Lazaridis, FA Khan… - 2022 25th …, 2022 - ieeexplore.ieee.org
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 …

Application of deep learning algorithm for spectrum sensing in cognitive radio

Z Zhang - 2023 - dr.ntu.edu.sg
In recent years, with the development of related technologies, the requirements for
frequency resources are also increasing day by day, but due to the scarcity of wireless …