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 …
Integrated cooperative spectrum sensing and access control for cognitive industrial Internet of Things
X Liu, M Jia, M Zhou, B Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) usually utilizes 2.4-GHz unlicensed frequency band, which
is also heavily used by many other communication systems, such as ZigBee, WiFi …
is also heavily used by many other communication systems, such as ZigBee, WiFi …
Spectrum sensing using Software Defined Radio for cognitive radio networks: A survey
Cognitive radio (CR) network has emerged as a potential solution to the under-utilization
problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to …
problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to …
A blockchain-based method to defend against massive SSDF attacks in cognitive Internet of Vehicles
R Lin, F Li, J Wang, J Hu, Z Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The high-speed movement of Vehicle Users (VUs) in Cognitive Internet of Vehicles (CIoV)
causes rapid changes in users location and path loss. In the case of imperfect control …
causes rapid changes in users location and path loss. In the case of imperfect control …
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 …
A cooperative spectrum sensing method based on soft low-rank subspace clustering
S Ma, Y Wang, J Ren, M Yin - IEEE Transactions on Circuits …, 2022 - ieeexplore.ieee.org
When processing sensing signals under low signal-to-noise ratio environment, the sensing
performance cannot be guaranteed in existing algorithms. To ensure sensing performance …
performance cannot be guaranteed in existing algorithms. To ensure sensing performance …
An online learning approach for cooperator selection in CSS under SSDF attack
Y Fu, Z He - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Cooperative spectrum sensing (CSS) can greatly improve sensing accuracy by combining
the individual sensing results. However, it also faces spectrum sensing data falsification …
the individual sensing results. However, it also faces spectrum sensing data falsification …
Thwarting SSDF Attacks From High-Speed Movement VUs in the CIoV Network: Based on Blockchain and Stochastic Evolutionary Game
F Li, R Lin, W Chen, J Wang, F Shu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Cognitive Internet of Vehicles (CIoV) adds the cognitive engine based on traditional Internet
of Vehicles (IoV), which can improve spectrum utilization. However, Spectrum Sensing Data …
of Vehicles (IoV), which can improve spectrum utilization. However, Spectrum Sensing Data …
White spaces pattern finding and inference based on machine learning for multi-frequency spectrum footprints
Spectrum surveys performed worldwide demonstrate that the spectrum utilization efficiency
is less than 0.25. Therefore, the traditional long-term licensed spectrum allocation by …
is less than 0.25. Therefore, the traditional long-term licensed spectrum allocation by …
Deep Feature Extraction and Attention Fusion for Multimodal Emotion Recognition
Z Yang, D Li, F Hou, Y Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, electroencephalogram (EEG)-based multimodal emotion recognition has emerged
as one of the research hotspots in affective computing. However, the existing methods tend …
as one of the research hotspots in affective computing. However, the existing methods tend …