[PDF][PDF] DRLNet: A Deep Reinforcement Learning Network for Hybrid Features Extraction and Spectrum Sensing in Cognitive Radio Networks

U Rani, CR Prashanth - Journal of Advances in Information Technology, 2023 - jait.us
Over the past two decades, communication technologies have advanced significantly, but
the growing use of various communication methods has led to a shortage of available …

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 …

[HTML][HTML] A Deep-Learning-Based Method for Spectrum Sensing with Multiple Feature Combination

Y Zhang, Z Luo - Electronics, 2024 - mdpi.com
Cognitive radio networks enable the detection and opportunistic access to an idle spectrum
through spectrum-sensing technologies, thus providing services to secondary users …

Spectrum sensing in cognitive radio: A deep learning based model

H Xing, H Qin, S Luo, P Dai, L Xu… - Transactions on …, 2022 - Wiley Online Library
Spectrum sensing is an efficient technology for addressing the shortage of spectrum
resources. Widely used methods usually employ model‐based features as the test statistics …

Deep Q Network-Based Spectrum Sensing for Cognitive Radio

NM Kumar, P Polasi - … Systems and Intelligent Computing: Proceedings of …, 2022 - Springer
Cognitive radio network is considered as an ideal answer to the spectrum utilization problem
of the current era. In cognitive radio, spectrum sensing has created new opportunities, as it …

Cooperative spectrum sensing based on LSTM-CNN combination network in cognitive radio system

L Li, W Xie, X Zhou - IEEE Access, 2023 - ieeexplore.ieee.org
Cognitive radio (CR), as an emerging technology to improve the utilization of radio
spectrum, the fundamental of CR technology is spectrum sensing, due to the detection …

Deep learning based spectrum sensing technique for smarter cognitive radio networks

OO Ajayi, AA Badrudeen, AI Oyedeji - Journal of Inventive …, 2021 - jiengtech.com
Accurate spectrum sensing is crucial for avoiding interference and maximizing spectrum
band utilization or spectral efficiency in a cognitive radio network (CRN). However …

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 …

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 …

Spectrum Sensing Based on STFT-ImpResNet for Cognitive Radio

J Gai, L Zhang, Z Wei - Electronics, 2022 - mdpi.com
Spectrum sensing is a crucial technology for cognitive radio. The existing spectrum sensing
methods generally suffer from certain problems, such as insufficient signal feature …