Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical
based and data-driven approaches. The former is sensitive to model inaccuracies in …

Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical-
based and data-driven approaches. The former is sensitive to model inaccuracies in …

For most existing spectrum sensing detectors, the design of their test statistics relies on
certain signal-noise model assumptions and hence, their detection performance heavily …

Over the past two decades, communication technologies have advanced significantly, but
the growing use of various communication methods has led to a shortage of available …

Cognitive radio network is considered as an ideal answer to the spectrum utilization problem
of the current era. In cognitive radio, spectrum sensing has created new opportunities, as it …

In order to identify and make use of unused, underused frequency bands, cognitive radio
(CR) makes extensive use of spectrum sensing (SS). Successful implementations of CR rely …

Spectrum sensing is critical in allowing the cognitive radio network, which will be used in the
next generation of wireless communication systems. Several approaches, including …

Spectrum sensing is critical in allowing the cognitive radio network, which will be used in the
next generation of wireless communication systems. Several approaches, including …

Vacant frequency bands are used in cognitive radio (CR) by incorporating the spectrum
sensing (SS) technique. Spectrum sharing plays a central role in ensuring the effectiveness …

In cognitive radio networks, compressive sensing has the potential to allow a secondary
user to efficiently monitor a wideband spectrum at a sub-Nyquist sampling rate without …