Machine learning for cooperative spectrum sensing and sharing: A survey

D Janu, K Singh, S Kumar - Transactions on Emerging …, 2022 - Wiley Online Library
With the rapid development of next‐generation wireless communication technologies and
the increasing demand of spectrum resources, it becomes necessary to introduce learning …

MBSO Algorithm For Handling Energy-Throughput Trade-Off In Cognitive Radio Networks

M Ramchandran, EN Ganesh - The Computer Journal, 2022 - academic.oup.com
Cognitive Radio network (CRN) depends on opportunistic spectrum access and spectrum
sensing for improving the wireless networks' spectrum efficiency. Since throughput …

Toward a lightweight intrusion detection system for the internet of things

SU Jan, S Ahmed, V Shakhov, I Koo - IEEE access, 2019 - ieeexplore.ieee.org
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …

Energy Efficient and Interference-aware Spectrum Sensing Technique for Improving the Throughput in Cognitive Radio Networks

M Ramchandran, EN Ganesh - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
Cognitive Radio network (CRN) depends on opportunistic spectrum access and spectrum
sensing for improving the wireless networks' spectrum efficiency. Since throughput …

A review of spectrum sensing in modern cognitive radio networks

MU Muzaffar, R Sharqi - Telecommunication Systems, 2024 - Springer
Cognitive radio network (CRN) is a pioneering technology that was developed to improve
efficiency in spectrum utilization. It provides the secondary users with the privilege to …

Performance of machine learning-based techniques for spectrum sensing in mobile cognitive radio networks

MA Abusubaih, S Khamayseh - IEEE Access, 2021 - ieeexplore.ieee.org
Communication technologies are evolving drastically in recent years. However, the scarcity
of spectrum began to appear with the accelerating usage of various communication …

[HTML][HTML] Machine learning-based malicious user detection for reliable cooperative radio spectrum sensing in Cognitive Radio-Internet of Things

MS Hossain, MS Miah - Machine Learning with Applications, 2021 - Elsevier
Abstract The Cognitive Radio based Internet of Things (CR-IoT) is a promising technology
that provides IoT endpoints, ie, CR-IoT users the capability to share the radio spectrum …

Enhancing the spectrum sensing performance of cluster-based cooperative cognitive radio networks via sequential multiple reporting channels

MA Hossain, M Schukat, E Barrett - Wireless Personal Communications, 2021 - Springer
In cluster-based cooperative cognitive radio networks (CCRNs), spectrum sensing and
decision making processes to determine whether the primary user (PU) signal is present or …

Extreme learning machine based identification of malicious users for secure cooperative spectrum sensing in cognitive radio networks

MK Giri, S Majumder - Wireless Personal Communications, 2023 - Springer
Cognitive radio (CR) technology has evolved over the traditional radio to successfully utilize
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …

Machine learning-based malicious users detection in blockchain-enabled cr-iot network for secured spectrum access

MS Miah, MS Hossain… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Cognitive radio has been established as an optimal solution to enhance spectrum usage
proficiency and compensate the growing spectrum scarcity for wireless multimedia …