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
Publisher:
arXiv
Issue Date:
28-Jul-2017
ARXIV:
arXiv:1708.06598
Type:
Preprint
Additional Links:
http://arxiv.org/abs/1708.06598v1; http://arxiv.org/pdf/1708.06598v1
Appears in Collections:
Other/General Submission; Other/General Submission; 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.accessioned2017-12-28T07:32:12Z-
dc.date.available2017-12-28T07:32:12Z-
dc.date.issued2017-07-28en
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.publisherarXiven
dc.relation.urlhttp://arxiv.org/abs/1708.06598v1en
dc.relation.urlhttp://arxiv.org/pdf/1708.06598v1en
dc.rightsArchived with thanks to arXiven
dc.titleCoverage maximization for a poisson field of drone cellsen
dc.typePreprinten
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.eprint.versionPre-printen
dc.contributor.institutionDepartment of Electrical Engineering, KU Leuven, Belgiumen
dc.contributor.institutionDepartment of Electrical and Electronic Engineering, Imperial College London, UKen
dc.contributor.institutionCentre of Complexity Science and Department of Mathematics, Imperial College London, UKen
dc.identifier.arxividarXiv:1708.06598en
kaust.authorAmin, Osamaen
kaust.authorAlouini, Mohamed-Slimen
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