Module

Module A: (ÖBB-PV)

The focus of this research module is the creation of accurate virtual representations of cellular network elements in train environments enabling joint optimization.

Main research topics:

  • Robust coverage multi–DT design for high–speed vehicular scenarios
  • Data collection policy design of input features and wireless channel measurements for ML.
  • Online sustainable FL of Quality of Service (QoS) predictor in railroad systems with asynchronous data-collection
  • Spatial and temporal prediction of cellular QoS in railroad systems.
  • Asynchronous FL with minimal latency constraints

Researchers

Charmae Franchesca Mendoza
Richard Prüller
Sonja Tripkovic

Module B: (A1)

The focus of this research module is the efficient abstraction of the air interface information for a dynamic, sustainable DT architecture in campus network environments.

Main research topics:

  • Distributed DT of air interfaces working in a cooperative FL framework of the wireless campus network
  • Design of data collection, aggregation, and compression for a robust DT
  • DT model state prediction and scheduling decisions in campus network at industrial sites
  • Characterizing DT model performance in cases of privacy restrictions and limited cooperation

Researchers

Module C: (Nokia)

The focus of this research module is to obtain AI-assisted, distributed, and cooperative meshed network with integrated sensing features.

Main research topics:

  • Sensing configuration of a RAN: Communication signals and RIS for sensing location, trajectory, and environment
  • Sensing enabled DT models from the point of the wireless network.
  • Reliability modeling of distributed cooperative communication
  • Combined DT integrating local sensing information

Researchers