Lahmeri, Mohamed-Amine and Kishk, Mustafa A. and Alouini, Mohamed-Slim (2022) Charging Techniques for UAV-Assisted Data Collection: Is Laser Power Beaming the Answer? IEEE Communications Magazine, 60 (5). pp. 50-56. ISSN 0163-6804

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Abstract

As COVID-19 has increased the need for connectivity around the world, researchers are targeting new technologies that could improve coverage and connect the unconnected in order to make progress toward the United Nations Sustainable Development Goals. In this context, drones are seen as one of the key features of 6G wireless networks that could extend the coverage of previous wireless network generations. That said, limited onboard energy seems to be the main drawback that hinders the use of drones for wireless coverage. Therefore, different wireless and wired charging techniques, such as laser beaming, charging stations, and tether stations, are proposed. In this article, we analyze and compare these different charging techniques by performing extensive simulations for the scenario of drone-assisted data collection from ground-based Internet of Things devices. We analyze the strengths and weaknesses of each charging technique, and finally show that laser-powered drones strongly compete with, and outperform in some scenarios, other charging techniques.

Item Type:	Article
Keywords:	Performance evaluation; Monte Carlo methods; Wireless networks; Power lasers; Quality of service; Laser excitation; Laser beams; Autonomous aerial vehicles;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	17566
Identification Number:	https://doi.org/10.1109/MCOM.001.2100871
Depositing User:	Mustafa Kishk
Date Deposited:	18 Sep 2023 14:25
Journal or Publication Title:	IEEE Communications Magazine
Publisher:	Institute of Electrical and Electronics Engineers
Refereed:	Yes
URI:	Publisher
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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