Ubiquitous Connectivity via Autonomous Airborne Networks (Airbonnet)

Using AI and UVAs to in create internet connection everywhere.

While households in developed countries receive skyrocketing data rates through optical fibers and smartphones step into the 5G era, roughly one half of the world’s population cannot connect to the internet. Even beyond developing economies,  bringing data connectivity to areas where it cannot currently reach would drastically benefit applications such as the internet-of-things, smart agriculture/forestry, wildfire suppression, search-and-rescue missions, paramedical interventions, and emergency response handling to name a few.

To this end, the UAVs in the targeted technology are equipped with a communication module that connects to the ground users on one side and to the cellular terrestrial infrastructure on the other side. The user information may even be relayed through multiple UAVs before reaching its destination. For this technology to be viable, the UAVs must be able to navigate without human supervision to locations with favorable propagation conditions, that is, where the signals that they receive from and transmit to the ground users and cellular infrastructure are not significantly blocked by obstacles such as buildings or mountains.

The key approach in this project is to construct "radio maps" that describe the propagation conditions in a certain region. Using these maps, the UAVs rely on artificial intelligence algorithms to determine the appropriate locations and can even adapt to changes in the user positions and connectivity requirements as well as to coordinate with other UAVs. Our preliminary findings already showcase the ability of artificial deep neural networks to construct radio maps from a small number of measurements collected by the UAVs.

Positions open
Postdoc - deadline 30. November 2020
PhD - deadline 15. October 2020 193076
PhD deadline 15. Oct 2020 - position 193076

Ubiquitous Connectivity via Autonomous Airborne Networks (Airbonnet)
Communication: unmanned aerial vehicles provide data connectivity to users on the ground.

Project Info

Project Manager: Daniel Romero
Researchers: | Filippo Sanfilippo | Jaziar Radianti
Project Period: July 2020 - June 2024
Funding: Norwegian Research Council, IKTpluss program
Partners: University of Vigo; Delft University of Technology, Gradiant