A Stochastic Model for UAV Networks Positioned Above Demand Hotspots in
Urban Environments
release_k3h4avb66bdhlhblmjcp4uqisa
by
Boris Galkin, Jacek Kibiłda, Luiz A. DaSilva
2018
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 use stochastic geometry to characterise the behaviour of a network of
UAV access points that intelligently position themselves above user hotspots,
and we evaluate the performance of such a network against cases where the UAVs
are positioned in a rectangular grid or according to heuristic positioning
algorithms.
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