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

doi:10.1109/ICC45041.2023.10278620

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

Network Architectures and Services

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the ICC 2023 - IEEE International Conference on Communications
Publisher	IEEE
Pages	6591-6596
Number of pages	6
ISBN (Electronic)	978-1-5386-7462-8
ISBN (Print)	978-1-5386-7463-5
DOIs	https://doi.org/10.1109/ICC45041.2023.10278620
Publication status	Published - 2023
Event	ICC 2023 - IEEE International Conference on Communications - Rome, Italy Duration: 28 May 2023 → 1 Jun 2023

Publication series

Name	IEEE International Conference on Communications
Publisher	IEEE
ISSN (Electronic)	1938-1883

Conference

Conference	ICC 2023 - IEEE International Conference on Communications
Country/Territory	Italy
City	Rome
Period	28/05/23 → 1/06/23

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.

Keywords

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

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10.1109/ICC45041.2023.10278620

Analytical_Approach_for_Optimal_Deployment_of_Drone_Base_Stations_in_Cellular_NetworksFinal published version, 575 KB

Cite this

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title = "Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks",

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.",

keywords = "Beyond 5G, drone base station positioning, call success rate, multi-class loss systems",

author = "T.R. Pijnappel and {van den Berg}, J.L. and S.C. Borst and R. Litjens",

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.; ICC 2023 - IEEE International Conference on Communications ; Conference date: 28-05-2023 Through 01-06-2023",

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language = "English",

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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 Proceedings of the ICC 2023 - IEEE International Conference on Communications. IEEE International Conference on Communications, IEEE, pp. 6591-6596, ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 28/05/23. https://doi.org/10.1109/ICC45041.2023.10278620

Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. / Pijnappel, T.R.; van den Berg, J.L.; Borst, S.C. et al.
Proceedings of the ICC 2023 - IEEE International Conference on Communications. IEEE, 2023. p. 6591-6596 (IEEE International Conference on Communications).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - 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.

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N2 - 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.

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 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.

KW - Beyond 5G

KW - drone base station positioning

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KW - multi-class loss systems

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

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