Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey

被引:72
|
作者
Lahmeri, Mohamed-Amine [1 ]
Kishk, Mustafa A. [1 ]
Alouini, Mohamed-Slim [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia
关键词
Task analysis; Drones; Tutorials; Collaborative work; Reinforcement learning; Classification algorithms; Training; Artificial intelligence; deep learning; federated learning; machine learning; reinforcement learning; UAVs; UNMANNED AERIAL VEHICLE; TRAJECTORY DESIGN; CELLULAR NETWORKS; ENERGY-EFFICIENT; FAIR COMMUNICATION; TETHERED DRONES; BASE STATIONS; REINFORCEMENT; DEPLOYMENT; OPTIMIZATION;
D O I
10.1109/OJCOMS.2021.3075201
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1015 / 1040
页数:26
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