Page 25 - Read Online

Ayass et al. Intell Robot 2022;2(1):20-36 Intelligence & Robotics
DOI: 10.20517/ir.2021.07

Research Article Open Access

Unmanned aerial vehicle with handover

management fuzzy system for 5G networks:
challenges and perspectives

1
2
2
1
2
Thalita Ayass , Thiago Coqueiro , Tássio Carvalho , José Jailton , Jasmine Araújo , Renato Francês 1
1
Institute of Technology, Federal University of Pará, Belém 66075-110, Brazil.
2
Computer Faculty, Federal University of Pará, Castanhal 68746-360, Brazil.
Correspondence to: Dr. Thalita Ayass, Institute of Technology, Federal University of Pará, Augusto Corrêa Street, 01, Guamá,
Belém City, Pará State 66075-110, Brazil. E-mail: thalita_ayass@hotmail.com
How to cite this article: Ayass T, Coqueiro T, Carvalho T, Jailton J, Araújo J, Francês R. Unmanned aerial vehicle with handover
management fuzzy system for 5G networks: challenges and perspectives. Intell Robot 2022;2(1):20-36.
https://dx.doi.org/10.20517/ir.2021.07
Received: 30 Aug 2021 First Decision: 22 Oct 2021 Revised: 8 Nov 2021 Accepted: 10 Feb 2022 Published: 22 Feb 2022

Academic Editors: Simon X. Yang, Jianjun Ni Copy Editor: Xi-Jun Chen Production Editor: Xi-Jun Chen

Abstract
The next generation of wireless networks, 5G, and beyond will bring more complexities and configuration issues to
set the new wireless networks, besides requirements for important and new services. These new generations of
wireless networks, to be implemented, are in extreme dependence on the adoption of artificial intelligence
techniques. The integration of unmanned aerial vehicles (UAV) in wireless communication networks has opened
several possibilities with increased flexibility and performance. Besides, they are considered as one of the most
promising technologies to be used in the new wireless networks. Thus, UAVs are expected to be one of the most
important applications to provide a new way of connectivity to the 5G network, and it is expected to grow from
being a 19.3 billion USD industry in 2019 to 45.8 billion USD by 2025. In this paper, we provide a proposal of
handover management on aerial 5G network utilizing the fuzzy system. The simulations performed prove the
benefits of our proposal by QoS/QoE (quality of service/quality of experience) metrics.

Keywords: UAV, FANET, drone, fifth generation, fuzzy system, handover

1. INTRODUCTION
Unmanned aerial vehicles (UAVs) are considered as an interesting technology recently, mainly because of

© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0
International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
indicate if changes were made.

www.intellrobot.com