Dias Santana Guilherme Marcel, Cristo Rogers Silva de, Lucas Jaquie Castelo Branco Kalinka Regina
Institute of Mathematics and Computer Science, Universidade de São Paulo, São Carlos, SP 13566-590, Brazil.
Sensors (Basel). 2021 Jan 27;21(3):830. doi: 10.3390/s21030830.
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.
无人机需要各种技术,以便它们不仅能够自主飞行,还能与基站、飞行控制器、计算机、设备甚至其他无人机进行通信。然而,无人机通常在未经授权的频谱频段内运行,与越来越多的移动设备和其他无线网络展开竞争。将无人机与认知无线电(CR)相结合可能会提高其总体通信性能,从而使它们能够执行传统无人机面临限制的任务。认知无线电提供了一种智能无线通信,它不是使用硬件中定义的传输频率,而是使用软件传输。认知无线电巧妙地利用空闲传输信道和/或根据应用需求选择信道。此外,认知无线电被认为是部署需要高连接性的技术(如智能城市、5G、物联网(IoT)和飞行物联网(IoFT))的关键推动因素。本文概述了用于无人机通信的认知无线电领域及其最新技术、用于实际数据实验的测试平台替代方案,以及构建简单低成本测试平台的规范,并指出了该领域的关键机遇和未来挑战。