Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks

Abstract

Aerial networks, composed of Unmanned Aerial Vehicles (UAVs) acting as Wi-Fi access points or cellular base stations, are emerging as an interesting solution to provide on-demand wireless connectivity to users, when there is no network infrastructure available, or to enhance the network capacity. This article proposes a traffic-aware topology control solution for aerial networks that holistically combines the placement of UAVs with a predictive and centralized routing protocol. The synergy created by the combination of the UAV placement and routing solutions allows the aerial network to seamlessly update its topology according to the users' traffic demand, whilst minimizing the disruption caused by the movement of the UAVs. As a result, the Quality of Service (QoS) provided to the users is improved. The components of the proposed solution are described and evaluated individually in this article by means of simulation and an experimental testbed. The results show that all the components improve the QoS provided to the users when compared to the corresponding baseline solutions.

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Cited by in corpus (4)

• SUPPLY: Sustainable multi-UAV Performance-aware Placement Algorithm for Flying Networks
• Traffic-Aware UAV Placement Using a Generalizable Deep Reinforcement Learning Methodology
• UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels
• Joint Traffic and Obstacle-aware UAV Positioning Algorithm for Aerial Networks