Coverage Analysis for Low-Altitude UAV Networks in Urban Environments

Boris Galkin; Jacek Kibilda; Luiz A. Dasilva

doi:10.1109/GLOCOM.2017.8254658

Coverage Analysis for Low-Altitude UAV Networks in Urban Environments

Boris Galkin
, Jacek Kibilda
, Luiz A. Dasilva

Trinity College Dublin

Research output: Contribution to journal › Article › peer-review

Abstract

Wireless access points on unmanned aerial vehicles (UAVs) are being considered for mobile service provisioning in commercial networks. To be able to efficiently use these devices in cellular networks it is necessary to first have a qualitative and quantitative understanding of how their design parameters reflect on the service quality experienced by the end user. In this paper we set up a scenario where a network of UAVs operating at a certain height above ground provide wireless service within coverage areas shaped by their directional antennas. We provide an analytical expression for the coverage probability experienced by a typical user as a function of the UAV parameters and demonstrate the performance trade-offs that occur as these parameters are varied.

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
Volume	2018-January
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254658
Publication status	Published - 2017
Externally published	Yes
Event	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore Duration: 4 Dec 2017 → 8 Dec 2017

Keywords

coverage probability
poisson point process
stochastic geometry
UAV networks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/GLOCOM.2017.8254658

Cite this

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title = "Coverage Analysis for Low-Altitude UAV Networks in Urban Environments",

abstract = "Wireless access points on unmanned aerial vehicles (UAVs) are being considered for mobile service provisioning in commercial networks. To be able to efficiently use these devices in cellular networks it is necessary to first have a qualitative and quantitative understanding of how their design parameters reflect on the service quality experienced by the end user. In this paper we set up a scenario where a network of UAVs operating at a certain height above ground provide wireless service within coverage areas shaped by their directional antennas. We provide an analytical expression for the coverage probability experienced by a typical user as a function of the UAV parameters and demonstrate the performance trade-offs that occur as these parameters are varied.",

keywords = "coverage probability, poisson point process, stochastic geometry, UAV networks",

author = "Boris Galkin and Jacek Kibilda and Dasilva, \{Luiz A.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Global Communications Conference, GLOBECOM 2017 ; Conference date: 04-12-2017 Through 08-12-2017",

year = "2017",

doi = "10.1109/GLOCOM.2017.8254658",

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volume = "2018-January",

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issn = "2334-0983",

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AU - Galkin, Boris

AU - Kibilda, Jacek

AU - Dasilva, Luiz A.

PY - 2017

Y1 - 2017

N2 - Wireless access points on unmanned aerial vehicles (UAVs) are being considered for mobile service provisioning in commercial networks. To be able to efficiently use these devices in cellular networks it is necessary to first have a qualitative and quantitative understanding of how their design parameters reflect on the service quality experienced by the end user. In this paper we set up a scenario where a network of UAVs operating at a certain height above ground provide wireless service within coverage areas shaped by their directional antennas. We provide an analytical expression for the coverage probability experienced by a typical user as a function of the UAV parameters and demonstrate the performance trade-offs that occur as these parameters are varied.

AB - Wireless access points on unmanned aerial vehicles (UAVs) are being considered for mobile service provisioning in commercial networks. To be able to efficiently use these devices in cellular networks it is necessary to first have a qualitative and quantitative understanding of how their design parameters reflect on the service quality experienced by the end user. In this paper we set up a scenario where a network of UAVs operating at a certain height above ground provide wireless service within coverage areas shaped by their directional antennas. We provide an analytical expression for the coverage probability experienced by a typical user as a function of the UAV parameters and demonstrate the performance trade-offs that occur as these parameters are varied.

KW - coverage probability

KW - poisson point process

KW - stochastic geometry

KW - UAV networks

UR - https://www.scopus.com/pages/publications/85046349643

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DO - 10.1109/GLOCOM.2017.8254658

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VL - 2018-January

SP - 1

EP - 6

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

JF - Proceedings - IEEE Global Communications Conference, GLOBECOM

T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017

Y2 - 4 December 2017 through 8 December 2017

ER -

Coverage Analysis for Low-Altitude UAV Networks in Urban Environments

Abstract

Keywords

UN SDGs

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