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

T.R. Pijnappel*, J.L. van den Berg, S.C. Borst*, R. Litjens

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationICC 2023 - IEEE International Conference on Communications
Subtitle of host publicationSustainable Communications for Renaissance
EditorsMichele Zorzi, Meixia Tao, Walid Saad
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages6591-6596
Number of pages6
ISBN (Electronic)978-1-5386-7462-8
ISBN (Print)978-1-5386-7463-5
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy
Duration: 28 May 20231 Jun 2023

Publication series

NameIEEE International Conference on Communications
Volume2023-May
ISSN (Print)1550-3607

Conference

Conference2023 IEEE International Conference on Communications, ICC 2023
Abbreviated titleICC
Country/TerritoryItaly
CityRome
Period28/05/231/06/23

Keywords

  • Beyond 5G
  • Call success rate
  • Drone base station positioning
  • Multi-class loss systems
  • 2024 OA procedure

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