Stochastic geometry-based analysis of airborne base stations with laser-powered UAVs

Lahmeri MA, Kishk MA, Alouini MS (2019)

Publication Type: Journal article, Letter

Publication year: 2019

Journal

IEEE Communications Letters Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 24

Pages Range: 173-177

Journal Issue: 1

URI: https://ieeexplore.ieee.org/abstract/document/8866716

DOI: 10.1109/LCOMM.2019.2947039

Abstract

One of the most promising solutions to the problem of limited flight time of unmanned aerial vehicles (UAVs), is providing the UAVs with power through laser beams emitted from Laser Beam Directors (LBDs) deployed on the ground. In this letter, we study the performance of a laser-powered UAV-enabled communication system using tools from stochastic geometry. We first derive the energy coverage probability, which is defined as the probability of the UAV receiving enough energy to ensure successful operation (hovering and communication). Our results show that to ensure energy coverage, the distance between the UAV and its dedicated LBD must be below a certain threshold, for which we derive an expression as a function of the system parameters. Considering simultaneous information and power transmission through the laser beam using power splitting technique, we also derive the joint energy and the Signal-to-noise Ratio (SNR) coverage probability. The analytical and simulation results reveal some interesting insights. For instance, our results show that we need at least 6 LBDs/10km 2 to ensure a reliable performance in terms of energy coverage probability.

Authors with CRIS profile

Mohamed Amine Lahmeri Lehrstuhl für Digitale Übertragung (IDC)

Involved external institutions

King Abdullah University of Science and Technology (KAUST) / جامعة الملك عبد الله للعلوم و التقنية

Saudi Arabia (SA) Maynooth University

Ireland (IE)

How to cite

APA:

Lahmeri, M.A., Kishk, M.A., & Alouini, M.-S. (2019). Stochastic geometry-based analysis of airborne base stations with laser-powered UAVs. IEEE Communications Letters, 24(1), 173-177. https://doi.org/10.1109/LCOMM.2019.2947039

MLA:

Lahmeri, Mohamed Amine, Mustafa A. Kishk, and Mohamed-Slim Alouini. "Stochastic geometry-based analysis of airborne base stations with laser-powered UAVs." IEEE Communications Letters 24.1 (2019): 173-177.

BibTeX: Download