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Title	Integrating Cognitive Radio With Unmanned Aerial Vehicles: An Overview
ID_Doc	31959
Authors	Dias Santana G.M.; Cristo R.S.; Lucas Jaquie Castelo Branco K.R.
Year	2021
Published	Sensors (Basel, Switzerland), 21, 3
DOI	http://dx.doi.org/10.3390/s21030830
Abstract	Unmanned Aerial Vehicles (UAVs) demand technologies so they can not only fly autonomously, but also communicate with base stations, flight controllers, computers, devices, or even other UAVs. Still, UAVs usually operate within unlicensed spectrum bands, competing against the increasing number of mobile devices and other wireless networks. Combining UAVs with Cognitive Radio (CR) may increase their general communication performance, thus allowing them to execute missions where the conventional UAVs face limitations. CR provides a smart wireless communication which, instead of using a transmission frequency defined in the hardware, uses software transmission. CR smartly uses free transmission channels and/or chooses them according to application's requirements. Moreover, CR is considered a key enabler for deploying technologies that require high connectivity, such as Smart Cities, 5G, Internet of Things (IoT), and the Internet of Flying Things (IoFT). This paper presents an overview on the field of CR for UAV communications and its state-of-the-art, testbed alternatives for real data experiments, as well as specifications to build a simple and low-cost testbed, and indicates key opportunities and future challenges in the field.
Author Keywords	cognitive radio networks; energy management; internet of flying things; machine learning; network sensing; security; software defined radio; unmanned aerial vehicles

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