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Fakultät für Elektrotechnik und Informationstechnik

Contributions to Open Source & Data Projects

Open Source

  • SEAMLESS, “Radio Metric Aware Multi-Link Transmission for Resilient Rescue Robotics,” [Code] [Details]
  • NODROP Patch, “Hardening Secure Networking for Real-time Teleoperation by Preventing Packet Drops in the Linux TUN Driver,” [Code] [Details]
  • DRaGon, “Mining latent radio channel information from geographical data leveraging deep learning,” [Code] [Details]
  • TinyDRaGon, “Lightweight Radio Channel Estimation for 6G Pervasive Intelligence,” [Code] [Details]
  • vSTING, “Distributed Realtime Wireless Network Emulation for Multi-Device and Multi-Link Setup Evaluation,” [Code] [Details]
  • Assembly instructions and code for “R-HELIOS, an open large-scale mmWave reconfigurable IRS research platform fostering research on 6G mmWave communications,” [Code] [Details]
  • Lighweight ICT-centric Mobility Simulation, “LIMoSim: A framework for lightweight simulation of vehicular mobility in intelligent transportation systems,” [Code] [Details]
  • NB-IoT extension to ns-3, “From LENA to LENA-NB: Implementation and Performance Evaluation of NB-IoT and Early Data Transmission in ns-3,” [Code] [Details]
  • SDR-based C-V2X Traffic Generator, “SDR-based open-source C-V2X traffic generator for stress testing vehicular communication,” [Code] [Details]
  • Secure and efficient routing approach for airborne mesh networks, “PASER: Secure and Efficient Routing Approach for Airborne Mesh Networks,” [Code] [Details]
  • Android application for active and passive mobile network measurements, “Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications,” [Code] [Details]
  • Framework for automating high-level machine learning tasks , “LIMITS: Lightweight machine learning for IoT systems with resource limitations,” [Code] [Details]
  • Fast analysis of radio control channels, “FALCON: An accurate real-time monitor for client-based mobile network data analytics,” [Code] [Details]
  • Low cost, lightweight autonomous LTE network, “tinyLTE: Lightweight, Ad Hoc Deployable Cellular Network for Vehicular Communication,” [Code] [Details]
     

Open Data

  • Performance Evaluation of IRS-enhanced mmWave Connectivity for 6G Industrial Networks,” [Dataset] [Details]
  • IMMERSE: Machine Learning-aided Sensing in Private mmWave Networks for Industrial Applications,” [Dataset] [Details]
  • DoNext: An Open Measurement Data Set for Machine Learning-driven 5G Mobile Network Twins,” [Dataset] [Details]
  • Data-Driven Model-Predictive Communication for Resource-Efficient IoT Networks,” [Dataset] [Details]