[HTML][HTML] Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey

MJ Piran, QV Pham, SMR Islam, S Cho, B Bae… - Journal of Network and …, 2020 - Elsevier
The stringent requirements of wireless multimedia transmission lead to very high radio
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …

A survey of modulation classification using deep learning: Signal representation and data preprocessing

S Peng, S Sun, YD Yao - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …

When attackers meet AI: Learning-empowered attacks in cooperative spectrum sensing

Z Luo, S Zhao, Z Lu, J Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt
cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a …

Artificial intelligence for radio communication context-awareness

M Wasilewska, A Kliks, H Bogucka, K Cichoń… - IEEE …, 2021 - ieeexplore.ieee.org
This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-
operation awareness of radio communication nodes, links, and networks. The meaning and …

SpecKriging: GNN-based secure cooperative spectrum sensing

Y Zhang, A Li, J Li, D Han, T Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cooperative spectrum sensing (CSS) adopted by spectrum-sensing providers (SSPs) plays
a key role for dynamic spectrum access and is essential for avoiding interference with …

False-alarm detection in the fog-based internet of connected vehicles

MGH Al Zamil, S Samarah… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
One of the serious security breaches that threatens today's smart technologies is the
broadcasting of false alarms. These alarms may severely affect road management systems …

[PDF][PDF] Detection of Attackers in Cognitive Radio Network Using Optimized Neural Networks.

VP Ajay, M Nesasudha - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Cognitive radio network (CRN) is a growing technology targeting more resourcefully
exploiting the available spectrum for opportunistic network usage. By the concept of …

Gaussian mixture model based anomaly detection for defense against Byzantine attack in cooperative spectrum sensing

A Parmar, K Shah, K Captain… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Cognitive radio (CR) serves as an effective solution to the spectrum scarcity issue in current
wireless communication. Spectrum sensing is one of the key enabling technologies for CR …

Particle bee optimized convolution neural network for managing security using cross-layer design in cognitive radio network

K Elangovan, S Subashini - Journal of Ambient Intelligence and …, 2018 - Springer
Cognitive radio (CR) is one of the promising technologies for better utilization of radio
spectrum. The parameters like operating frequency, transmission power, type of modulation …

Reinforcement learning for performance improvement in cooperative spectrum sensing

R Kumar, A Parmar, K Captain, J Patel - Physical Communication, 2023 - Elsevier
Cognitive radio (CR) can provide a promising solution to the spectrum scarcity issue for
upcoming wireless communication technologies. Cooperative spectrum sensing (CSS) is …