Coverage maximization for a poisson field of drone cells

Handle URI:
http://hdl.handle.net/10754/626478
Title:
Coverage maximization for a poisson field of drone cells
Authors:
Azari, Mohammad Mahdi; Murillo, Yuri; Amin, Osama; Rosas, Fernando; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Pollin, Sofie
Abstract:
The use of drone base stations to provide wireless connectivity for ground terminals is becoming a promising part of future technologies. The design of such aerial networks is however different compared to cellular 2D networks, as antennas from the drones are looking down, and the channel model becomes height-dependent. In this paper, we study the effect of antenna patterns and height-dependent shadowing. We consider a random network topology to capture the effect of dynamic changes of the flying base stations. First we characterize the aggregate interference imposed by the co-channel neighboring drones. Then we derive the link coverage probability between a ground user and its associated drone base station. The result is used to obtain the optimum system parameters in terms of drones antenna beamwidth, density and altitude. We also derive the average LoS probability of the associated drone and show that it is a good approximation and simplification of the coverage probability in low altitudes up to 500 m according to the required signal-to-interference-plus-noise ratio (SINR).
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Azari MM, Murillo Y, Amin O, Rosas F, Alouini M-S, et al. (2017) Coverage maximization for a poisson field of drone cells. 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Available: http://dx.doi.org/10.1109/PIMRC.2017.8292753.
Publisher:
IEEE
Journal:
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Conference/Event name:
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Issue Date:
15-Feb-2018
DOI:
10.1109/PIMRC.2017.8292753
ARXIV:
arXiv:1708.06598
Type:
Conference Paper
Additional Links:
https://ieeexplore.ieee.org/document/8292753/; http://arxiv.org/abs/1708.06598v1
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAzari, Mohammad Mahdien
dc.contributor.authorMurillo, Yurien
dc.contributor.authorAmin, Osamaen
dc.contributor.authorRosas, Fernandoen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorPollin, Sofieen
dc.date.accessioned2018-04-24T06:55:33Z-
dc.date.available2017-12-28T07:32:12Z-
dc.date.available2018-04-24T06:55:33Z-
dc.date.issued2018-02-15en
dc.identifier.citationAzari MM, Murillo Y, Amin O, Rosas F, Alouini M-S, et al. (2017) Coverage maximization for a poisson field of drone cells. 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Available: http://dx.doi.org/10.1109/PIMRC.2017.8292753.en
dc.identifier.doi10.1109/PIMRC.2017.8292753-
dc.identifier.urihttp://hdl.handle.net/10754/626478-
dc.description.abstractThe use of drone base stations to provide wireless connectivity for ground terminals is becoming a promising part of future technologies. The design of such aerial networks is however different compared to cellular 2D networks, as antennas from the drones are looking down, and the channel model becomes height-dependent. In this paper, we study the effect of antenna patterns and height-dependent shadowing. We consider a random network topology to capture the effect of dynamic changes of the flying base stations. First we characterize the aggregate interference imposed by the co-channel neighboring drones. Then we derive the link coverage probability between a ground user and its associated drone base station. The result is used to obtain the optimum system parameters in terms of drones antenna beamwidth, density and altitude. We also derive the average LoS probability of the associated drone and show that it is a good approximation and simplification of the coverage probability in low altitudes up to 500 m according to the required signal-to-interference-plus-noise ratio (SINR).en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttps://ieeexplore.ieee.org/document/8292753/en
dc.relation.urlhttp://arxiv.org/abs/1708.06598v1-
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleCoverage maximization for a poisson field of drone cellsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)en
dc.conference.date2017-10-08 to 2017-10-13en
dc.conference.name28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017en
dc.conference.locationMontreal, QC, CANen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Electrical Engineering, KU Leuven, , Belgiumen
dc.contributor.institutionDepartment of Electrical and Electronic Engineering, Imperial College London, , United Kingdomen
dc.contributor.institutionCentre of Complexity Science, Department of Mathematics, Imperial College London, , United Kingdomen
dc.identifier.arxividarXiv:1708.06598-
kaust.authorAmin, Osamaen
kaust.authorAlouini, Mohamed-Slimen

Version History

VersionItem Editor Date Summary
2 10754/626478grenzdm2018-04-24 06:54:21.823Published with DOI.
1 10754/626478.1grenzdm2017-12-28 07:32:12.0
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