Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks
T. R. Pijnappel (Eindhoven University of Technology)
J.L. van den Berg (University of Twente)
S.C. Borst (Eindhoven University of Technology)
R. Litjens (TNO, TU Delft - Network Architectures and Services)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Reliable mobile communications is of critical importance, and should be maintained even in case of extremely crowded events or emergency scenarios. In such scenarios the deployment of drone-mounted base stations offers an agile and cost-efficient way to sustain coverage and/or provide capacity relief. In this paper we develop an analytical method to estimate the blocking and coverage probabilities of drone-assisted cellular networks using information that is readily available from network planning tools. We demonstrate how this method can be used to determine the minimum required number of drones and their corresponding locations for a given target performance level.