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

The deployment of the fifth-generation (5G) wireless communication services requires the
installation of 5G next-generation Node-B Base Stations (gNBs) over the territory and the …

In cognitive radio, one of the main challenges is wideband spectrum sensing. Existing
spectrum sensing techniques are based on a set of observations sampled by an …

Cooperative spectrum sensing has been studied to combat the hidden terminal problem by
exploiting the spatial diversity in cognitive radio (CR) networks. This paper concerns blind …

Spectrum sensing is a core function at cognitive radio systems to have spectrum awareness.
This could be achieved by collecting samples from the frequency band under observation to …

A cognitive radio system has the ability to observe and learn from the environment, adapt to
the environmental conditions, and use the radio spectrum more efficiently. It allows …

Wideband spectrum sensing remains one of the challenging problems facing the wide
deployment of cognitive radio networks. Compressive sensing (CS) was proposed as a …

Collaborative compressive spectrum sensing techniques are adopted to achieve spectrum
reconstruction at sub-Nyquist sampling rate as well as to improve detection reliability in …

Spectrum Sensing in wideband cognitive radio networks is considered one of the
challenging issues facing opportunistic utilization of the frequency spectrum. Collaborative …

This work deals with the issue of blind cooperative spectrum sensing using distributed
sensors with large-scale fading. We first investigate the Friedman-test-based nonparametric …