Spectrum inference, also known as spectrum prediction in the literature, is a promising
technique of inferring the occupied/free state of radio spectrum from already …

Spectrum occupancy models are very useful in cognitive radio designs. They can be used to
increase spectrum sensing accuracy for more reliable operation, to remove spectrum …

This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …

Channel bonding (CB) is a proven technique to increase bandwidth and reduce delays in
wireless networks. It has been applied in traditional wireless networks such as cellular …

Opportunistic access has been considered by regulators for a number of different spectrum
bands. In this paper, we discuss and qualitatively evaluate techniques used in the discovery …

This paper addresses the problem of accurately modeling the spectrum occupancy patterns
of real radio communication systems, which is an essential aspect in the study of cognitive …

With the advancement of the Internet of Things (IoT), conventional principles of spectrum
allocation cannot mitigate spectrum depletion so that a cognitive radio technology is …

In this study, we will be developed new framework-based deep learning techniques for IDS
detection in a wireless sensor network. This study uses three methods for developing …

Dynamic spectrum access (DSA) has been regarded as a viable solution to the spectrum
shortage problem. To find idle spectrum, partial spectrum sensing could be employed by …

Spectrum sensing is the quintessence of cognitive radio network and is influenced by
uncertain noise at low SNR. In such a scenario sensing duration imposes a constraint on the …