Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
KAUST DepartmentCommunication Theory Lab
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Permanent link to this recordhttp://hdl.handle.net/10754/668913
MetadataShow full item record
AbstractUnmanned 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.
CitationLahmeri, M.-A., A.Kishk, M., & Alouini, M.-S. (2021). Artificial Intelligence for UAV-enabled Wireless Networks: A Survey. IEEE Open Journal of the Communications Society, 1–1. doi:10.1109/ojcoms.2021.3075201
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons Attribution 4.0 License.