Jump label

Service navigation

Main navigation

You are here:

Main content

CNI Wireless Communication Laboratories

The CNI maintains and constantly enlarges a regionally unique laboratory, which enables networks of most diverse technologies to be run in a controlled and realistic environment.

 

Multi-Technology Networking Lab

The Multi-Technology Networking Lab provides extensive capabilities for radio network emulation, reproducible measurements, as well as an operator- and manufacturer-independent evaluation. Complex radio environments, motivated by our application-oriented research topics, are reproduced in versatile lab settings (Software/Hardware-in-the-loop, channel emulation, etc.), e.g., in preparation for extensive field tests.

 

Key Features & Components:

  • Test platform for mobile radio network emulations (WiFi | 3G | LTE-A | NB-IoT and more)
  • Real-time spectrum analyzer, vector network analyzer, universal radio network analyzer for measurements and investigations into general RF signals, protocol-based signaling and more
  • Channel emulator, mesh network attenuator, programmable digital attenuator for real-time performance testing under controlled conditions
  • Software-defined radio (SDR) systems
    • Extensive millimeter-wave transceiver systems (dedicated section below)
    • Hardware in the simulation loop as preparation for field tests
    • Radio field soil moisture measurement
  • Outdoor Testing Site operating federal research licenses (BNetzA) for private LTE and 5G, as well as LPWAN networks in unlicensed frequency bands
    • 5G Campus-Network (3.7 GHz) | Private LoRaWAN Network  | The Things Network 

 

Contact:

robert.falkenberg@tu-dortmund.de | karsten.heimann@tu-dortmund.de

 

Mobile Wireless Communications Lab

As a unique wireless communication technology platform, the mobile wireless communications lab of TU Dortmund university serves as a flexible control and monitoring platform for extensive field tests and evaluations. It brings fully featured multi-technology network solutions (4G | 5G | LPWAN | WiFi | others) straight into the field and can be ready for on-site usage within hours.

 

Key Features & Components:

  • Ad-hoc and standalone operation with modular configuration principle
  • Fully integrated end-to-end mobile network solutions based on:
    • Software-Defined Radio (SDR)
    • Software-Defined Networking (SDN)
    • Commercial/industrial infrastructure platforms
  • Fully featured multi-technology networks (4G | 5G | LPWAN | WiFi | others)
  • Radio communications research licenses in coordination with Federal Network Agency (BNetzA) and Mobile Network Operators
  • Mobile Mission Control Station (Areas: Robotics/Drones | Industrial Automation | others)

 

Further Information:

 

Contact:

stefan.boecker@tu-dortmund.de | caner.bektas@tu-dortmund.de

 

5G mmWave Experimental Platform

The 5G mmWave experimental platform of TU Dortmund University is a unique research and demonstration laboratory in North-Rhine-Westphalia (NRW), Germany. It provides insights into the evolution of 5G towards the utilization of new frequency spectrum with the help of special antenna systems. Forming an electronically steerable, directed antenna characteristic (so-called pencil beam), high bandwidths can be provided for demanding mobile services.

 

Key Features & Components:

  • Software-defined radio (SDR) based millimeter wave (mmWave) transceiver system for prototyping and analysis of selected features
  • Unique lab setup with hands-on experience of 5G subscriber mobility
  • Reproducible mobility for an extensive evaluation of beam management strategies
  • Federal research license (BNetzA) for millimeter-wave radio spectrum enables over-the-air evaluation as well as national exhibition

 

Further Information:

 

Recent Publications Related to Lab:

 

Contact:

stefan.boecker@tu-dortmund.de | karsten.heimann@tu-dortmund.de

 

Indoor Localization Lab

High scalable Indoor Localization for the precise navigation of UAVs in logistic applications or for assistance of rescue forces in areas with low visibility.

 

Key Features & Components:

  • Multiple Ultra-Wideband (UWB) Testbeds
  • Multi-Technology Augmentation including Simultaneous Localization and Mapping (SLAM)
  • Integration with Robotic Systems
  • Scalable Time-Difference-Of-Arrival (TDOA) based Localization
  • Optical Motion Capture based Ground Truth

 

Further Information:

  • Video: Scalable and Precise Multi-UAV Indoor Navigation using TDOA-based UWB Localization
  • Video: Enhanced UAV Indoor Navigation through SLAM-Augmented UWB Localization
  • Video: ATLAS FaST: Fast and Simple Scheduled TDOA for Reliable Ultra-Wideband Localization

 

Recent Publications Related to Lab:

  • J. Tiemann, C. Wietfeld, "Scalability, Real-Time Capabilities and Energy Efficiency in Ultra-Wideband Localization", In IEEE Transactions on Industrial Informatics, vol. 15, no. 8, 2019.
  • J. Tiemann, Y. Elmasry, L. Koring, C. Wietfeld, "ATLAS FaST: Fast and Simple Scheduled TDOA for Reliable Ultra-Wideband Localization", In IEEE International Conference on Robotics and Automation (ICRA), Montréal, Canada, May 2019.
  • J. Tiemann, L. Koring, P. Gorczak, C. Wietfeld, "Improving the Robustness of Control-Grade Ultra-Wideband Localization", In 3rd IFAC Conference on Embedded Systems, Computer Intelligence and Telematics (CESCIT 2018), Faro, Portugal, Juni 2018.
  • J. Tiemann, C. Wietfeld, "Scalable and Precise Multi-UAV Indoor Navigation using TDOA-based UWB Localization", In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sapporo, Japan, September 2017.
  • J. Tiemann, J. Pillmann, C. Wietfeld, "Ultra-Wideband Antenna-Induced Error Prediction using Deep Learning on Channel Response Data", In IEEE Vehicular Technology Conference (VTC-Spring), Sydney, Australia, Juni 2017.
  • J. Tiemann, F. Eckermann, C. Wietfeld, "ATLAS - An Open-Source TDOA-based Ultra-Wideband Localization System", In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Alcalá de Henares, Madrid, Spain, Oktober 2016.

Contact:

janis.tiemann@tu-dortmund.de

 



Sub content