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Fakultät für Elektrotechnik und Informationstechnik
A robotic platform on a field with fire in the background © CNI

VICTOR6G

The digital transformation of industrial environments demands communication systems that are not only fast and reliable but also intelligent, adaptive, and seamlessly integrated with production processes. The VICTOR6G project addresses this challenge by developing innovative network solutions that enable dynamic interaction between applications and networks within the paradigm of the Industrial Metaverse.

Project Vision
VICTOR6G aims to create an integrated end-to-end solution combining wired and wireless communication technologies with advanced application and network engineering. The core innovation lies in enabling networks and applications to cooperate intelligently: both can adapt in real time to changing conditions in industrial environments. This mutual adaptation ensures optimal performance, reliability, and resource efficiency across diverse use cases such as manufacturing automation, logistics or drone-based inspection systems.

Beyond specific application scenarios, VICTOR6G explores the systemic interaction between digital twins of applications and networks under the Industrial Metaverse concept. By orchestrating seamless interplay between wireless and wired Time-Sensitive Networking (TSN) components across multiple frequency ranges (FR1–FR3), the project establishes a foundation for next-generation industrial connectivity.

Scientific Focus of TU Dortmund University
Within VICTOR6G, TU Dortmund University contributes key scientific expertise in quantitative performance evaluation, and distributed monitoring for 6G technologies and adaptive resource management. The university’s research focuses on three major objectives:

  1. Quantitative Performance Evaluation of 6G Network Technologies
    TU Dortmund conducts analytical, simulation-based, laboratory, and field tests to assess the performance limits and scalability of emerging 6G systems. These evaluations provide references for digital twins within the Industrial Metaverse while forming a basis for optimization strategies such as improved radio resource management or innovative passive reflector systems (IRS).
  2. Extension of Distributed KPI Monitoring and Control Systems
    Building on existing frameworks like the STING Network Companion, TU Dortmund enhances its monitoring solution designed for low-latency communication across all frequency ranges with particular emphasis on FR3.
  3. Adaptive Radio Resource Management Across Frequency Ranges FR1–FR3
    The university creates and evaluates adaptive algorithms that dynamically adjust network resources according to varying environmental conditions or production requirements, enabling efficient operation even under fluctuating load conditions.

Through these research efforts, TU Dortmund plays a pivotal role in integrating 6G into real-world production environments by helping realize scalable, intelligent connectivity that bridges physical manufacturing systems with their digital counterparts.

This project is funded by the Federal Ministry for Research, Technology and Space (BMFTR) under grant number 16KIS2549.