Deep reinforcement learning for dynamic spectrum sensing and aggregation in multi-channel wireless networks

Y Li, W Zhang, CX Wang, J Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… Abstract—In this paper, the problem of dynamic spectrum sensing and … segment comprising
C (C < N) contiguous channels to sense. Then, the vacant channels in the selected segment

Spectrum sensing for cognitive radio: Recent advances and future challenge

A Nasser, H Al Haj Hassan, J Abou Chaaya… - Sensors, 2021 - mdpi.com
… in Spectrum Sensing as a Service, where the Internet of Things or the Wireless Sensor
CR has been introduced as a potential candidate to perform complete Dynamic Spectrum

Clustering algorithm-based data fusion scheme for robust cooperative spectrum sensing

S Zhang, Y Wang, P Wan, J Zhuang, Y Zhang… - IEEE Access, 2020 - ieeexplore.ieee.org
… We also propose a CSS framework which considers spectrum sensing as a two-class …
His research interests include spectrum sensing in cognitive radio and adaptive dynamic

A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks

A Kaur, K Kumar - Journal of Experimental & Theoretical Artificial …, 2022 - Taylor & Francis
… techniques to access the spectrum dynamically. The intelligent spectrum management
includes spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility. …

Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet-of-things networks

X Fernando, G Lăzăroiu - Sensors, 2023 - mdpi.com
… energy throughout dynamic spectrum sensing and switching. Channel spectrum sensing
can … A cognitive radio sensor network senses event signals and conjointly interconnects in a …

Spiking-unet: Spiking neural networks for spectrum occupancy monitoring

K Dakic, B Al Homssi… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
… With its dynamic spectrum access capabilities, cognitive radio (CR) technology … spectrum
sensing technique that leverages an SNN based on the UNet architecture [11] to segment

5G technology: Towards dynamic spectrum sharing using cognitive radio networks

WSHMW Ahmad, NAM Radzi, FS Samidi, A Ismail… - IEEE …, 2020 - ieeexplore.ieee.org
spectrum sensing and spectrum prediction in the system. The work of [80] verified the fundamentals
of predictable and unforeseeable underlying realworld Radio Spectrum State (RSS). …

Multisignal modulation classification using sliding window detection and complex convolutional network in frequency domain

C Hou, G Liu, Q Tian, Z Zhou, L Hua… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
… secure dynamic spectrum access. Based … spectrum of the time-domain overlapping signal
is obtained through the fast Fourier transform (FFT), and the frequency spectrum is segmented

Spectrum energy detection in cognitive radio networks based on a novel adaptive threshold energy detection method

B Sarala, SR Devi, JJJ Sheela - Computer Communications, 2020 - Elsevier
… A dynamic spectrum access program can also be used to deal with the … In the above discussed
all methods have some problems for sensing the spectrum in cognitive radio networks, so …

A new fault diagnosis method based on adaptive spectrum mode extraction

Z Wang, N Yang, N Li, W Du… - Structural Health …, 2021 - journals.sagepub.com
… Therefore, an adaptive spectrum mode extraction method is proposed in this article. The …
spectral segmentation, mode extraction, and feedback adjustment. In the spectral segmentation