Due to the under-utilization problem of the allocated radio spectrum, cognitive radio (CR)
communications have recently emerged as a reliable and effective solution. Among various …

It is widely believed that the advances of networking technologies will reshape the future of
telecommunication system. The continuous growth in data traffic originated by mobile users …

Cognitive radio (CR)-based Internet of Things (IoT) system is an effective step toward a
world of smart technology. Many frameworks have been proposed to build CR-based IoT …

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 …

The usable satellite spectrum is becoming scarce due to continuously increasing demand
for broadcast, multimedia and interactive services. In this context, cognitive satellite …

The eigenvalues of the sample covariance matrix can capture signal correlations and noise
characteristics well, which are widely used for spectrum sensing in cognitive radio networks …

Energy harvesting (EH) and spectrum harvesting (SH) are two promising and useful green
communication and networking mechanisms for the next-generation wireless networks …

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 …

Distributed spectrum sensing improves the detection reliability of a cognitive radio network
but generally comes at the price of a large power consumption. Since cognitive radios are …