CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks

R Ahmed, Y Chen, B Hassan, L Du - Ad Hoc Networks, 2021 - Elsevier
In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

Cooperative spectrum sensing based on multi-features combination network in cognitive radio network

M Xu, Z Yin, Y Zhao, Z Wu - Entropy, 2022 - mdpi.com
Cognitive radio, as a key technology to improve the utilization of radio spectrum, acquired
much attention. Moreover, spectrum sensing has an irreplaceable position in the field of …

A Double-Threshold Cooperative Spectrum Sensing Algorithm in the Internet of Vehicles

H Du, Y Wang - World Electric Vehicle Journal, 2024 - mdpi.com
To address the shortage of wireless spectrum resources caused by the rapid development of
the Internet of Vehicles, spectrum sensing technology in cognitive radio is employed to …

Research on spectrum sensing system based on composite neural network

L Zhang, M Zhao, C Tan, G Li… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Electromagnetic spectrum sensing is an important component of electromagnetic spectrum
capability. With the development of spectrum sensing technology, there are still many …

Advanced squirrel algorithm‐trained neural network for efficient spectrum sensing in cognitive radio‐based air traffic control application

G Eappen, T Shankar, R Nilavalan - IET communications, 2021 - Wiley Online Library
In the current scenario, there is a drastic increase in air traffic. The air to ground
communication plays a crucial role in the air traffic control system. There is a limited …

A novel linear SVM-based compressive collaborative spectrum sensing (CCSS) scheme for IoT cognitive 5G network

S Jothiraj, S Balu - Soft Computing, 2019 - Springer
The cognitive 5G network plays a vital role in enhancing the performance of IoT systems by
providing broad services on dynamic situations. Cognitive radio is an emerging trend for …

Wavelet transform and artificial neural network based spectrum sensing in cognitive radio

DU Ruiyan, GAO Fan, W Xianchao… - Journal of Physics …, 2019 - iopscience.iop.org
With the progress and upgrade of wireless telecommunication technologies, the lack of
spectrum resources is pretty serious. As a method to improve spectrum utilization, cognitive …

Optimization algorithm of cognitive radio spectrum sensing based on quantum neural network

K Liu - Automatic Control and Computer Sciences, 2016 - Springer
In recent years, with the development of mobile communications and Wireless Local Area
Network (WLAN) as well as restrictions on limited spectrum resources, wireless spectrum …

Spectrum sensing based on spectrogram-aware CNN for cognitive radio network

L Cai, K Cao, Y Wu, Y Zhou - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Spectrum sensing is one of the key problems in the cognitive radio network. Existing
spectrum sensing methods commonly use deep learning models such as the convolutional …

Deep learning application for sensing available spectrum for cognitive radio: An ECRNN approach

SB Goyal, P Bedi, J Kumar, V Varadarajan - Peer-to-Peer Networking and …, 2021 - Springer
Spectrum sensing (SS) is a concept of cognitive radio systems at base transceiver stations
that can find the white space ie licensed spectrum owned by primary users (PU), for …