Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey

Lahmeri MA, Kishk MA, Alouini MS (2021)

Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2021

Journal

IEEE Open Journal of the Communications Society Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 2

Pages Range: 1015-1040

URI: https://ieeexplore.ieee.org/abstract/document/9411810

DOI: 10.1109/OJCOMS.2021.3075201

Open Access Link: https://ieeexplore.ieee.org/abstract/document/9411810

Abstract

Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for the next-generation wireless communication networks. Their mobility and their ability to establish line of sight (LOS) links with the users made them key solutions for many potential applications. In the same vein, artificial intelligence (AI) is growing rapidly nowadays and has been very successful, particularly due to the massive amount of the available data. As a result, a significant part of the research community has started to integrate intelligence at the core of UAVs networks by applying AI algorithms in solving several problems in relation to drones. In this article, we provide a comprehensive overview of some potential applications of AI in UAV-based networks. We also highlight the limits of the existing works and outline some potential future applications of AI for UAVs networks.

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. (2021). Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey. IEEE Open Journal of the Communications Society, 2, 1015-1040. https://doi.org/10.1109/OJCOMS.2021.3075201

MLA:

Lahmeri, Mohamed Amine, Mustafa A. Kishk, and Mohamed-Slim Alouini. "Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey." IEEE Open Journal of the Communications Society 2 (2021): 1015-1040.

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