Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

Cognitive radio networks (CRNs) have emerged as an essential technology to enable
dynamic and opportunistic spectrum access which aims to exploit underutilized licensed …

With the unprecedented new capabilities introduced by modern broadband wireless
networks, public safety (PS) agencies are increasingly depending on such networks for their …

This paper outlines the components of a digital spectrum twin (DST) and potential
application maps that can inform automated or enhanced spectrum management decisions …

This work proposes a framework to discover the topology of a non-collaborative packet-
based wireless network using radio-frequency (RF) sensors. The methodology developed is …

This paper investigates the secrecy performance of a cognitive relay non-orthogonal
multiple access system based on an unmanned aerial vehicle (UAV). In particular, a UAV …

Cognitive radio is an innovative technology which seeks to provide a new way to extend
utilization of available spectrum. The spectrum detection is an essential problem for …

Spectrum scarcity due to inefficient utilisation has ignited a plethora of dynamic spectrum
access solutions to accommodate the expanding demand for future wireless networks …

The advent of the Internet of Things and 5G has further accelerated the growth in devices
attempting to gain access to the wireless spectrum. A consequence of this has been the …

This paper provides an overview of cognitive radio technology and its applications in the
field of civil aviation. Cognitive radio technology is a relatively new and emerging field that …