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Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview.
Dias Santana, Guilherme Marcel; Cristo, Rogers Silva de; Lucas Jaquie Castelo Branco, Kalinka Regina.
Affiliation
  • Dias Santana GM; Institute of Mathematics and Computer Science, Universidade de São Paulo, São Carlos, SP 13566-590, Brazil.
  • Cristo RS; Institute of Mathematics and Computer Science, Universidade de São Paulo, São Carlos, SP 13566-590, Brazil.
  • Lucas Jaquie Castelo Branco KR; Institute of Mathematics and Computer Science, Universidade de São Paulo, São Carlos, SP 13566-590, Brazil.
Sensors (Basel) ; 21(3)2021 Jan 27.
Article in En | MEDLINE | ID: mdl-33513689
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Brazil Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Brazil Country of publication: Switzerland