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

Conference paper (2023)

Authors

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, Network Architectures and Services - EEMCS
Research Group
Network Architectures and Services (EEMCS) (TU Delft)
Copyright: © 2023 T.R. Pijnappel, J.L. van den Berg, S.C. Borst, R. Litjens
DOI: https://doi.org/10.1109/ICC45041.2023.10278620
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Network Architectures and Services

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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