Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks

Conference Paper (2023)
Author(s)

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)

Research Group
Network Architectures and Services
Copyright
© 2023 T.R. Pijnappel, J.L. van den Berg, S.C. Borst, R. Litjens
DOI related publication
https://doi.org/10.1109/ICC45041.2023.10278620
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 T.R. Pijnappel, J.L. van den Berg, S.C. Borst, R. Litjens
Research Group
Network Architectures and Services
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
6591-6596
ISBN (print)
978-1-5386-7463-5
ISBN (electronic)
978-1-5386-7462-8
Reuse Rights

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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.

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