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Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview
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 mob...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866003/ https://www.ncbi.nlm.nih.gov/pubmed/33513689 http://dx.doi.org/10.3390/s21030830 |
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author | Dias Santana, Guilherme Marcel de Cristo, Rogers Silva Lucas Jaquie Castelo Branco, Kalinka Regina |
author_facet | Dias Santana, Guilherme Marcel de Cristo, Rogers Silva Lucas Jaquie Castelo Branco, Kalinka Regina |
author_sort | Dias Santana, Guilherme Marcel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7866003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78660032021-02-07 Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview Dias Santana, Guilherme Marcel de Cristo, Rogers Silva Lucas Jaquie Castelo Branco, Kalinka Regina Sensors (Basel) Review 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. MDPI 2021-01-27 /pmc/articles/PMC7866003/ /pubmed/33513689 http://dx.doi.org/10.3390/s21030830 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Dias Santana, Guilherme Marcel de Cristo, Rogers Silva Lucas Jaquie Castelo Branco, Kalinka Regina Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview |
title | Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview |
title_full | Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview |
title_fullStr | Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview |
title_full_unstemmed | Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview |
title_short | Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview |
title_sort | integrating cognitive radio with unmanned aerial vehicles: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866003/ https://www.ncbi.nlm.nih.gov/pubmed/33513689 http://dx.doi.org/10.3390/s21030830 |
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