Noise uncertainty can severely deteriorate a primary user (PU) detector's sensing
performance, so robustness against the noise uncertainty is of fundamental significance in …

Spectrum sensing is viewed as the basic and crucial technology for cognitive radio. To
improve the accuracy of spectrum sensing in low signal to noise ratio (SNR), this paper …

The development of spectral efficient solutions for internet of things (IoT) face challenges
primarily due to the large-scale placement of an immense number of sensors and devices …

Sažetak The eigenvalue based detection is a low-cost spectrum sensing method that detects
the presence of primary user signal at a desired frequency. In this study, the largest …

Aiming at problems of feature extraction of monitoring data may lose useful information and
different feature extraction methods have great influence on the results in rolling bearing …

As cognitive radio networks are being used as a method which helps in determining the
spectrum vacancy and utilize the spectrum efficiently, spectrum sensing is one of the key …

The cognitive 5G network plays a vital role in enhancing the performance of IoT systems by
providing broad services on dynamic situations. Cognitive radio is an emerging trend for …

The radio spectrum sensing has been an important issue of research in cognitive radio
networks over the last decade and the appropriate selection of threshold plays a crucial role …

The exponential increase in the number of the Internet of Things (IoT) necessitates dynamic
and shared spectrum access at the edge of network. In cognitive radio (CR)-based IoT …

Matching filtering has been proven to be the optimal spectrum sensing algorithm under
Gaussian white noise. However, the application of this algorithm is limited because of its …