Optimal Deployment of Tethered Drones for Maximum Cellular Coverage in User Clusters
Kishk, Mustafa Abdelsalam
Al-Naffouri, Tareq Y.
KAUST DepartmentCommunication Theory Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Preprint Posting Date2020-03-02
Online Publication Date2020-11-25
Print Publication Date2021-03
Permanent link to this recordhttp://hdl.handle.net/10754/666008
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AbstractUnmanned 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 endto- 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.
CitationBushnaq, O. M., Kishk, M. A., Celik, A., Alouini, M.-S., & Al-Naffouri, T. Y. (2020). Optimal Deployment of Tethered Drones for Maximum Cellular Coverage in User Clusters. IEEE Transactions on Wireless Communications, 1–1. doi:10.1109/twc.2020.3039013