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

Tom R. Pijnappel; J.L. (Hans) van den Berg; Sem C. Borst; Remco Litjens

doi:10.1109/ICC45041.2023.10278620

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

Tom R. Pijnappel, J.L. (Hans) van den Berg, Sem C. Borst, Remco Litjens

Stochastic Operations Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	ICC 2023 - IEEE International Conference on Communications
Subtitle of host publication	Sustainable Communications for Renaissance
Editors	Michele Zorzi, Meixia Tao, Walid Saad
Publisher	Institute of Electrical and Electronics Engineers
Pages	6591-6596
Number of pages	6
ISBN (Electronic)	978-1-5386-7462-8
DOIs	https://doi.org/10.1109/ICC45041.2023.10278620
Publication status	Published - 23 Oct 2023

Keywords

Beyond 5G
call success rate
drone base station positioning
multi-class loss systems

Access to Document

10.1109/ICC45041.2023.10278620

Cite this

Pijnappel, T. R., van den Berg, J. L., Borst, S. C., & Litjens, R. (2023). Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. In M. Zorzi, M. Tao, & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (pp. 6591-6596). Article 10278620 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICC45041.2023.10278620

Pijnappel, Tom R. ; van den Berg, J.L. (Hans) ; Borst, Sem C. et al. / Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. editor / Michele Zorzi ; Meixia Tao ; Walid Saad. Institute of Electrical and Electronics Engineers, 2023. pp. 6591-6596

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Pijnappel, TR, van den Berg, JL, Borst, SC & Litjens, R 2023, Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance., 10278620, Institute of Electrical and Electronics Engineers, pp. 6591-6596. https://doi.org/10.1109/ICC45041.2023.10278620

Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. / Pijnappel, Tom R.; van den Berg, J.L. (Hans); Borst, Sem C. et al.
ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. ed. / Michele Zorzi; Meixia Tao; Walid Saad. Institute of Electrical and Electronics Engineers, 2023. p. 6591-6596 10278620.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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 andcost-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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Pijnappel TR, van den Berg JL, Borst SC, Litjens R. Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. In Zorzi M, Tao M, Saad W, editors, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. Institute of Electrical and Electronics Engineers. 2023. p. 6591-6596. 10278620 doi: 10.1109/ICC45041.2023.10278620

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

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Keywords

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