Compressive sensing (CS) has received much attention in several fields such as digital
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …

Cognitive radio (CR) has been considered as a potential candidate for addressing the
spectrum scarcity problem of future wireless networks. Since its conception, several …

In addition to Spectrum Sensing (SS) capability required by a Cognitive Radio (CR), Signal
to Noise Ratio (SNR) estimation of the primary signals at the CR receiver is crucial in order …

Spectrum sensing is one of the vital functions, plays an important role in cognitive radio
networks (CRN). This paper discuss to enrich the sensing performance of propose estimated …

Spectrum Sensing (SS) and underlay have been considered as two important techniques for
enabling the spectral coexistence of the licensed and unlicensed wireless communication …

In addition to spectrum sensing capability required by a Cognitive Radio (CR), Signal to
Noise Ratio (SNR) estimation of the primary signals is crucial in order to adapt its coverage …

The demand for precious radio spectrum is continuously increasing while the available radio
frequency resource has become scarce due to spectrum segmentation and the dedicated …

Understanding the performance of cognitive radio systems is of great interest. To perform
dynamic spectrum access, different paradigms are conceptualized in the literature. Of these …

Spectrum sensing in cognitive radio (CR) is a critical process as it directly influences the
accuracy of detection. Noise uncertainty affects the reliability of detecting vacant holes in the …

In this paper, we propose a novel method of signal-to-noise ratio (SNR) estimation for
cognitive radio (CR) systems at low SNRs. By jointly exploiting the second-order moment of …