Peer-Reviewed Journal Details
Mandatory Fields
Lahmeri, MA;Kishk, MA;Alouini, MS
2021
January
Ieee Open Journal Of The Communications Society
Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey
Published
2 ()
Optional Fields
UNMANNED AERIAL VEHICLE TRAJECTORY DESIGN ENERGY-EFFICIENT FAIR COMMUNICATION TETHERED DRONES BASE STATIONS REINFORCEMENT DEPLOYMENT OPTIMIZATION PREDICTION
2
1015
1040
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.
PISCATAWAY
2644-125X
10.1109/OJCOMS.2021.3075201
Grant Details