TY - JOUR
T1 - Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
AU - Lahmeri, Mohamed-Amine
AU - A.Kishk, Mustafa
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2021-04-26
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/668913
UR - https://ieeexplore.ieee.org/document/9411810/
U2 - 10.1109/OJCOMS.2021.3075201
DO - 10.1109/OJCOMS.2021.3075201
M3 - Article
SN - 2644-125X
JO - IEEE Open Journal of the Communications Society
JF - IEEE Open Journal of the Communications Society
ER -