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Optimal deployment of tethered drones for maximum cellular coverage in user clusters

Optimal deployment of tethered drones for maximum cellular coverage in user clusters
Optimal deployment of tethered drones for maximum cellular coverage in user clusters

Unmanned aerial vehicles (UAVs) have recently received a significant interest to assist terrestrial wireless networks thanks to their strong line-of-sight links and flexible/instant deployment. However, UAVs' assistance is limited by their battery lifetime and wireless backhaul link capacity. At the expense of limited mobility, tethered UAVs (T-UAVs) can be a viable alternative to provide seamless service over a cable that simultaneously supplies power and data from a ground station (GS). Accordingly, this paper presents a comparative performance analysis of T-UAV and regular/untethered UAV (U-UAV)-assisted cellular traffic offloading from a geographical area that undergoes heavy traffic conditions. By using stochastic geometry tools, we first derive joint distance distributions between the hot-spot users, the terrestrial base station (TBS), and the UAV. To maximize the end-to-end signal-to-noise ratio, a user association policy is developed, and corresponding association regions are analytically identified. Then, the overall coverage probability of the U-UAV/T-UAV-assisted system is derived for given locations of the TBS and the U-UAV/T-UAV. Moreover, we analytically prove that optimal UAV location falls within a partial surface of the spherical cone centered at the GS. Numerical results show that T-UAV outperforms U-UAV given that sufficient GS locations accessibility and tether length are provided.

hot-spot coverage, optimal deployment, stochastic geometry, tethered drones, Unmanned aerial vehicle (UAV), user association
1536-1276
2092-2108
Bushnaq, Osama M.
125eee15-50ab-46c6-b10e-46486359429f
Kishk, Mustafa A.
b54a20f5-7208-431c-b782-90bbdfdcb1ce
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Alouini, Mohamed Slim
3ccd5915-318e-4f4b-b47a-48257ab4c0eb
Al-Naffouri, Tareq Y.
e4ec48c1-9987-49cd-b3ef-4942a3a3483e
Bushnaq, Osama M.
125eee15-50ab-46c6-b10e-46486359429f
Kishk, Mustafa A.
b54a20f5-7208-431c-b782-90bbdfdcb1ce
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Alouini, Mohamed Slim
3ccd5915-318e-4f4b-b47a-48257ab4c0eb
Al-Naffouri, Tareq Y.
e4ec48c1-9987-49cd-b3ef-4942a3a3483e

Bushnaq, Osama M., Kishk, Mustafa A., Celik, Abdulkadir, Alouini, Mohamed Slim and Al-Naffouri, Tareq Y. (2021) Optimal deployment of tethered drones for maximum cellular coverage in user clusters. IEEE Transactions on Wireless Communications, 20 (3), 2092-2108, [9271904]. (doi:10.1109/TWC.2020.3039013).

Record type: Article

Abstract

Unmanned aerial vehicles (UAVs) have recently received a significant interest to assist terrestrial wireless networks thanks to their strong line-of-sight links and flexible/instant deployment. However, UAVs' assistance is limited by their battery lifetime and wireless backhaul link capacity. At the expense of limited mobility, tethered UAVs (T-UAVs) can be a viable alternative to provide seamless service over a cable that simultaneously supplies power and data from a ground station (GS). Accordingly, this paper presents a comparative performance analysis of T-UAV and regular/untethered UAV (U-UAV)-assisted cellular traffic offloading from a geographical area that undergoes heavy traffic conditions. By using stochastic geometry tools, we first derive joint distance distributions between the hot-spot users, the terrestrial base station (TBS), and the UAV. To maximize the end-to-end signal-to-noise ratio, a user association policy is developed, and corresponding association regions are analytically identified. Then, the overall coverage probability of the U-UAV/T-UAV-assisted system is derived for given locations of the TBS and the U-UAV/T-UAV. Moreover, we analytically prove that optimal UAV location falls within a partial surface of the spherical cone centered at the GS. Numerical results show that T-UAV outperforms U-UAV given that sufficient GS locations accessibility and tether length are provided.

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More information

e-pub ahead of print date: 25 November 2020
Published date: March 2021
Keywords: hot-spot coverage, optimal deployment, stochastic geometry, tethered drones, Unmanned aerial vehicle (UAV), user association

Identifiers

Local EPrints ID: 504760
URI: http://eprints.soton.ac.uk/id/eprint/504760
ISSN: 1536-1276
PURE UUID: 1ee92431-ffb3-4fd9-a60b-a8a6bbb3e364
ORCID for Abdulkadir Celik: ORCID iD orcid.org/0000-0001-9007-9979

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Date deposited: 18 Sep 2025 17:00
Last modified: 19 Sep 2025 02:19

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Contributors

Author: Osama M. Bushnaq
Author: Mustafa A. Kishk
Author: Abdulkadir Celik ORCID iD
Author: Mohamed Slim Alouini
Author: Tareq Y. Al-Naffouri

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