Hierarchical Cat and Mouse based ensemble extreme learning machine for spectrum sensing data falsification attack detection in cognitive radio network
While cognitive radio networks (CRNs) provide a promising solution to mitigate the scarcity
of the radio spectrum, they are still susceptible to several security threats. Until now, only a …
of the radio spectrum, they are still susceptible to several security threats. Until now, only a …
Effective autocorrelation‐based spectrum sensing technique for cognitive radio network applications
L Lyes, T Djamal, L Nacerredine - International Journal of …, 2023 - Wiley Online Library
Spectrum sensing based on detection techniques enables cognitive radio networks to detect
vacant frequency bands. The spectrum sensing gives the opportunity to increase the radio …
vacant frequency bands. The spectrum sensing gives the opportunity to increase the radio …
[HTML][HTML] Spectrum sensing based on high/low sensing times
R Garimella, JS Tata - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Cognitive Radio spectrum sensing is one of the important technique to utilize the unused
specturm for secondary user signal transmission without interference with the primary users …
specturm for secondary user signal transmission without interference with the primary users …
Implementation and Performance Analysis of Cognitive Radio with Frequency Updating Algorithm on Software-defined Radio Platform
Wireless communication is being used in all communication standards. However, with each
passing day, the bandwidth scarcity has become a significant concern for the upcoming …
passing day, the bandwidth scarcity has become a significant concern for the upcoming …
An optimised hardware architecture of the angular-domain cyclostationary detector for cognitive radio communications
This paper proposes a novel method to improve the performance and reduce the
implementation design complexity of the angular domain cyclostationary feature detection …
implementation design complexity of the angular domain cyclostationary feature detection …
Selective sampling based angular domain cyclostationary feature detection of odfm signals
B Abderrezzaq, T Camel, AM Salah… - … on Electrical, Computer …, 2021 - ieeexplore.ieee.org
This paper proposes a novel approach to simplify and improve the Angular Domain
Cyclostationary Feature Detection (ADCFD) of OFDM signals for cognitive radio wireless …
Cyclostationary Feature Detection (ADCFD) of OFDM signals for cognitive radio wireless …
A Novel Dual-Threshold Weighted Feature Detection for Spectrum Sensing in 5G Systems
P Kansal, M Gangadharappa, A Kumar - International Conference on …, 2022 - Springer
The objective of this research work is to overcome the issue of the secondary users bearing
different fading environments, changing signal-to-noise ratios, and spectral congestion in 5G …
different fading environments, changing signal-to-noise ratios, and spectral congestion in 5G …
[PDF][PDF] A Novel Dual-Threshold Weighted T Feature Detection for Spectrum Sensing mkkS in 5G Systems
P Kansal, M Gangadharappa, A Kumar - researchgate.net
The objective of this research work is to overcome the issue of the secondary users bearing
different fading environments, changing signal-to-noise ratios, and spectral congestion in 5G …
different fading environments, changing signal-to-noise ratios, and spectral congestion in 5G …