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    Optimal Deployment of Tethered Drones for Maximum Cellular Coverage in User Clusters

    Bushnaq, Osama M. and Kishk, Mustafa A. and Celik, Abdulkadir and 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). pp. 2092-2108. ISSN 1536-1276

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    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.

    Item Type: Article
    Keywords: Unmanned aerial vehicle; UAV; tethered drones; stochastic geometry; hot-spot coverage; user association; optimal deployment;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16977
    Identification Number:
    Depositing User: Mustafa Kishk
    Date Deposited: 28 Feb 2023 16:20
    Journal or Publication Title: IEEE Transactions on Wireless Communications
    Publisher: IEEE Transactions on Wireless Communications
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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