Projects
Role: Principal investigator
Duration: August 2022 to July 2025
Funding amount: ~ 300,000.00 Euros
Funded by: FWF - Der Wissenschaftsfonds (Austrian Science Fund) under grant number ESPRIT-54
Abstract:
The use of commercial drones has recently seen a tremendous expansion generating a wide range of applications. Such applications include goods delivery, remote surveillance, border control, agricultural or industrial monitoring and disaster relief. Even though the aforementioned applications span over distinct domains, the commonality among them is the need for autonomous drones or multi-drone systems capable of effective and safe mission and flight control and coordination. This makes the wireless connectivity a fundamental component in these applications. Such connectivity must be reliable and secure, and needs to support high data volume and short latency in some applications. Most commercial drone systems employ Wi-Fi for sensor data and proprietary radio technologies for command and control. Given drones’ three-dimensional mobility, high relative speeds, and changing altitude, Wi-Fi does not always meet the stringent service requirements of some envisioned drone applications. Drones can benefit from the existing cellular network infrastructure in terms of coverage, reliability, and security at data rates that are sufficient for many applications. The issue is that cellular networks were not primarily developed and deployed to be used by flying devices. In this sense, this project aims to establish a theoretical framework to integrate drones as aerial users into 5G cellular networks. The main goal is to ensure that, when connected to current cellular networks, drones support data transmissions at very high data rates in the uplink, while the downlink connectivity remains highly reliable for remote control and steering. This integration of aerial users into cellular networks should not impair ground users for which these networks were primarily deployed. A particular focus is on enabling beyond visual line of sight drone operations. Drone manoeuvres are to be controlled in real-time by means of command data sent via 5G from a processing entity or a human operator that receives a video stream from the drone itself. Another key objective is investigating drone-to-drone communication for applications that require multi-drone systems. This communication can be performed through the cellular network or by bypassing the ground infrastructure via direct communication technologies such as Wi-Fi. Both approaches differ in terms of the provided coverage area, adaptability, security, reliability, and support of real-time functions. We discuss the applicability domains of each approach to design a hybrid use of both by proposing a mechanism that opportunistically chooses the suitable wireless technology in concordance with drone mission planning requirements.
RISky - Reconfigurable Intelligent Surfaces for cellular 3D/Sky coverage
Role: Project leader
Duration: 2022 to 2024
Funded by: Technology Innovation Institute
RadaRIS - Cellular-RIS based Radar for Drones Detection and 3D Localization
Role: Project leader
Duration: 2022 to 2024
Funded by: Technology Innovation Institute
DroneZ - Drone communication over cellular networks
Role: Project member
Duration: 2017 to 2021
Funded by: T-Mobile/Magenta, Deutsche Telekom
5G Playground Carinthia
Role: Project member
Duration: 2019 to 2023
Funded by: Carinthian Agency for Investment Promotion and Public Shareholding (BABEG)
KI-Secure
Role: Project member
Duration: 2020 to 2023
Funded by: security research program KIRAS of the Austrian Federal Ministry of Finance (BMF) under grant agreement no. 879709
Link: https://www.kiras.at/en/financed-proposals/detail/ki-secure
Flex5Gware
Role: Project member
Duration: July 2015 to June 2017
Funded by: European Union. ICT Programme H2020
Armasuisse - MATISSE
Role: Project member
Duration: April 2015 to March 2016
Funded by: Armasuisse
Armasuisse - Opportunistic timing signals for pervasive mobile location
Role: Project member
Duration: April 2014 to March 2015
Funded by: Armasuisse
Link: https://networks.imdea.org/projects/opportunistic-timing-signals-for-pervasive-mobile-location/
TIGRE5-CM
Role: Project member
Duration: October 2014 to December 2018
Funded by: Department of Education and Research of the Regional Government of Madrid, through the 2013 R&D technology program for research groups, co-financed by Structural Funds of the European Union