Artificial Intelligence for UAV-enabled Wireless Networks: A Survey

TL;DR

This survey reviews how artificial intelligence enhances UAV-enabled wireless networks, discussing applications, limitations, and future prospects of AI integration in drone-based communication systems.

Contribution

It provides a comprehensive overview of AI applications in UAV networks, highlighting current challenges and future research directions.

Findings

AI improves UAV network efficiency and adaptability.

Current AI methods face limitations in real-time processing.

Future AI applications could enhance UAV autonomy and network management.

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 UAV networks.