FIDAL

ReDrone.5G

We will utilise NTNU's experimental 5G network infrastructure, specifically their Beyond 5G (B5G) Lab facilities, which feature a commercial Nokia 5G setup. This advanced network infrastructure supports Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC), which are essential for our application. The network provides high bandwidth and ultra-low latency, enabling the transmission of high-definition video streams and real-time control signals.


The network architecture includes a Nokia edge Data Access Control (DAC) server, routing functions, and both indoor and outdoor 5G radio units. We will collaborate with NTNU's network engineers to configure the network for optimal performance, implementing network slicing to allocate dedicated resources for drone operations. Quality of Service (QoS) settings will be adjusted to prioritise critical data streams, ensuring that control signals and video feeds maintain low latency and high reliability.


Connectivity aspects such as coverage, bandwidth, and signal strength are critical considerations. The network provides extensive coverage across NTNU's campus and designated flight areas, ensuring that drones maintain reliable connections throughout their operations. Bandwidth requirements are addressed by the network's high-capacity capabilities, supporting the transmission of HD or 4K video streams without compromising quality.

Functionality:
Network Slicing


Location(s):
Norway

Vertical sector(s):
Control and Media Streaming from Drone via Private 5G


replicable use case

This use case is replicable

Degree of replicability1:
18
1According to the Replicability Assessment Tool

High level of replicability : 61 < LR < 80

Good level of replicability: 31 < LR < 60

Low level of replicability: 00 < LR < 30


Project Open Call 3rd-party funding

FIDAL


Duration:

GA Number: 101096146

SNS JU Call (Stream):
Call 1
Stream D

This tool has received funding from the European Union’s Horizon Europe Research and Innovation programme under the SNS ICE project (Grant Agreement No 101095841)