Drones, also known as Unmanned Aerial Vehicles, UAVs, are becoming increasingly popular for various  applications One of them is providing a bird-eye view on the traffic situation for autonomous cars  UAVs, cars, and sensors deployed along the road infrastructure will form an ultra-dynamic communication network

Reliable wireless communication is critical for such applications and  safe transportation systems of future Understanding the reliability of those systems requires accurate channel, propagation and interference models since communication conditions are changing very fast for a vehicle moving through a complex environment However, state of the art channel and performance models cannot reproduce this propagation behavior and resulting end-to-end system reliability

The final objective of this project is to design algorithms for ultra-reliable UAV-assisted vehicular communication networks We will propose the guidelines for optimal positioning and mobility for UAVs and assess the achievable performance of such networks deployed in complex real-world environments As a tool for achieving this ambitious objective, we will create channel models considering the mobile nature of both aerial and ground nodes, understanding the impact of mobility far beyond the state of the art radio channel models focusing on static base stations These models will be based on series of electromagnetic simulations and measurements performed by the equipment designed during the project