Drone-Assisted Cellular Networks

Optimal Positioning and Load Management

Conference paper (2021)

Authors

T.R. Pijnappel Eindhoven University of Technology
J.L. van den Berg University of Twente, Centrum Wiskunde & Informatica (CWI), TNO
S. C. Borst Eindhoven University of Technology
R. Litjens TNO, Network Architectures and Services - EEMCS
Copyright: © 2021 T. R. Pijnappel, J. L. Van Den Berg, S. C. Borst, R. Litjens
DOI
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https://doi.org/10.1109/VTC2021-Spring51267.2021.9448643
Performance assessment Load management Drone-assisted cellular networks Drone positioning
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Published Date

2021

Language

English

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Abstract

The use of drone base stations offers an agile mechanism to safeguard coverage and provide capacity relief when cellular networks are under stress. Such stress conditions can occur for example in case of special events with massive crowds or network outages. In this paper we focus on a disaster scenario with emergence of a hotspot, and analyze the impact of the drone position (altitude, horizontal position) and selection bias on the network performance. We determine the optimal settings of these control parameters as a function of the hotspot location, and demonstrate that the optimized values can drastically reduce the fraction of failed calls.