OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING
Mobile broadband networks can provide a reliable and flexible communication channel. User requirements can come with different levels of specificity. The widespread application of unmanned aerial vehicles (UAVs, commonly known as a drones) introduces possibilities of use in modern upcoming mobile...
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Technical University of Kosice
2021-01-01
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doaj-cc4cae674f9442b2a6b5123d7e9015a82021-01-21T10:32:23ZengTechnical University of Kosice Acta Electrotechnica et Informatica1335-82431338-39572021-01-0120204465310.15546/aeei-2020-0025OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING Adrián STOSIL0Marcel VOLOŠIN1Taras MAKSYMYUK2Gabriel BUGÁR3Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Němcovej 32, 040 01 Košice, Slovak RepublicDepartment of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovak RepublicDepartment of Telecommunications, Lviv Polytechnic National University, UkraineDepartment of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Němcovej 32, 040 01 Košice, Slovak RepublicMobile broadband networks can provide a reliable and flexible communication channel. User requirements can come with different levels of specificity. The widespread application of unmanned aerial vehicles (UAVs, commonly known as a drones) introduces possibilities of use in modern upcoming mobile networks; for example, 5G and 6G, to achieve and support various use cases from low latency to high bandwidth scenarios. For reliable command and control communication, mobile networks can provide flexible differentiated QoS matching the needed reliability, latency and throughput. Many end user equipment connected to the same base station can overload the system and may cause the network to be unavailable. Also, in case the fixed infrastructure is partially decommissioned, destroyed or the network is congested and the system capacity is not sufficient, it is appropriate to use autonomous drones as mobile base stations to ensure well signal coverage of the affected area. The aim of this work is to overview of optimization algorithm developed to provide the best drones’ locations. We compared the techniques of minimization of the number of drones needed to cover users located in a given area with respect to the time required to calculate the optimal positions of the drones. http://www.aei.tuke.sk/papers/2020/4/07_Bugar.pdfautonomous dronemobile base stationsfixed infrastructure5g |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Adrián STOSIL Marcel VOLOŠIN Taras MAKSYMYUK Gabriel BUGÁR |
spellingShingle |
Adrián STOSIL Marcel VOLOŠIN Taras MAKSYMYUK Gabriel BUGÁR OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING Acta Electrotechnica et Informatica autonomous drone mobile base stations fixed infrastructure 5g |
author_facet |
Adrián STOSIL Marcel VOLOŠIN Taras MAKSYMYUK Gabriel BUGÁR |
author_sort |
Adrián STOSIL |
title |
OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING |
title_short |
OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING |
title_full |
OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING |
title_fullStr |
OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING |
title_full_unstemmed |
OVERVIEW OF OPTIMIZATION ALGORITHMS FOR UAVS POSITIONING |
title_sort |
overview of optimization algorithms for uavs positioning |
publisher |
Technical University of Kosice |
series |
Acta Electrotechnica et Informatica |
issn |
1335-8243 1338-3957 |
publishDate |
2021-01-01 |
description |
Mobile broadband networks can provide a reliable and flexible communication channel. User requirements can come with different
levels of specificity. The widespread application of unmanned aerial vehicles (UAVs, commonly known as a drones) introduces
possibilities of use in modern upcoming mobile networks; for example, 5G and 6G, to achieve and support various use cases from low
latency to high bandwidth scenarios. For reliable command and control communication, mobile networks can provide flexible
differentiated QoS matching the needed reliability, latency and throughput. Many end user equipment connected to the same base
station can overload the system and may cause the network to be unavailable. Also, in case the fixed infrastructure is partially
decommissioned, destroyed or the network is congested and the system capacity is not sufficient, it is appropriate to use autonomous
drones as mobile base stations to ensure well signal coverage of the affected area. The aim of this work is to overview of optimization
algorithm developed to provide the best drones’ locations. We compared the techniques of minimization of the number of drones needed
to cover users located in a given area with respect to the time required to calculate the optimal positions of the drones. |
topic |
autonomous drone mobile base stations fixed infrastructure 5g |
url |
http://www.aei.tuke.sk/papers/2020/4/07_Bugar.pdf |
work_keys_str_mv |
AT adrianstosil overviewofoptimizationalgorithmsforuavspositioning AT marcelvolosin overviewofoptimizationalgorithmsforuavspositioning AT tarasmaksymyuk overviewofoptimizationalgorithmsforuavspositioning AT gabrielbugar overviewofoptimizationalgorithmsforuavspositioning |
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