[HTML][HTML] Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey
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 …
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
Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …
management, and control for addressing technical issues, including spectrum awareness …
When attackers meet AI: Learning-empowered attacks in cooperative spectrum sensing
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 …
cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a …
Artificial intelligence for radio communication context-awareness
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 …
operation awareness of radio communication nodes, links, and networks. The meaning and …
SpecKriging: GNN-based secure cooperative spectrum sensing
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 …
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 …
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 …
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
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 …
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 …
spectrum. The parameters like operating frequency, transmission power, type of modulation …
Reinforcement learning for performance improvement in cooperative spectrum sensing
Cognitive radio (CR) can provide a promising solution to the spectrum scarcity issue for
upcoming wireless communication technologies. Cooperative spectrum sensing (CSS) is …
upcoming wireless communication technologies. Cooperative spectrum sensing (CSS) is …