Christian Vielhaus

Dipl.-Ing. Christian Vielhaus

PhD Researcher

Christian Vielhaus is a PhD researcher at the “Deutsche Telekom Chair of Communication Networks” at TU Dresden since March 2020.
His current research focus is machine learning for communication networks.

Contact

Office: Building “Barkhausen-Bau (BAR)“, Helmholtzstr. 18, Room BAR I30
Phone: +49 351 46340775
Email: christian.vielhaus@tu-dresden.de

Research Interests

  • Machine learning in networking
  • Network simulation / emulation
  • Congestion control

Teaching

SS 21

  • Fundamentals of Electrical Engineering 2

WS 20/21

  • Oberseminar
  • Problem-Based Learning
  • Fundamentals of Electrical Engineering 1

SS 20

  • Communication Networks 2

Supervision

Diploma / Master Thesis

  • Mobility- and Incentive-aware Task Offloading Framework considering inter-dependency of tasks in Device-enhanced MEC systems (Osel Lhamo)
  • Predictive Quality of Service in Cellular Networks (Abhiram Uppoor)
  • Calibration of mobile network simulations with measurement data (Xuefan Wang)

Student / Bachelor Thesis

  • Improving the robustness of congestion control algorithms based on deep reinforcement learning (Helmut Michael Zeisel)
  • Deep Reinforcement Learning for Handovers in Mobile Networks (Xianran Liu)
  • Rate control algorithms for WiFi with machine learning (Mingyu Ma)

Projects

Awards

Publications

2022

Rischke, Justus; Vielhaus, Christian Leonard; Sossalla, Peter; Itting, Sebastian A. W.; Nguyen, Giang T.; Fitzek, Frank H. P.

Empirical Study of 5G Downlink & Uplink Scheduling and its Effects on Latency Inproceedings

In: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (WoWMoM 2022), Belfast, United Kingdom (Great Britain), 2022.

Abstract | BibTeX

2021

Palaios, Alexandros; Vielhaus, Christian Leonard; Külzer, Daniel Fabian; Geuer, Philipp; Sattiraju, Raja; Fink, Jochen; Kasparick, Martin; Watermann, Cara; Fettweis, Gerhard P.; Fitzek, Frank H. P.; Schotten, Hans D.; Stanczak, Slawomir

Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction Inproceedings

In: 2021 IEEE 4th 5G World Forum (5GWF) (5G-WF'21), Montreal, Canada, 2021.

BibTeX

Palaios, Alexandros; Geuer, Philipp; Fink, Jochen; Külzer, Daniel Fabian; Göttsch, Fabian; Kasparick, Martin; Schäufele, Daniel; Hernangómez, Rodrigo; Partani, Sanket; Sattiraju, Raja; Kumar, Atul; Burmeister, Friedrich; Weinand, Andreas; Vielhaus, Christian Leonard; Fitzek, Frank H. P.; Fettweis, Gerhard P.; Schotten, Hans D.; Stanczak, Slawomir

Network Under Control: Multi-Vehicle E2E Measurements for AI-Based QoS Prediction Inproceedings

In: 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (IEEE PIMRC 2021), virtual, 2021.

BibTeX

2020

Latzko, Vincent; Vielhaus, Christian Leonard; Fitzek, Frank H. P.

Use Case Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications Inproceedings

In: 2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 – CT Symposium), Dublin, Ireland, 2020.

BibTeX

Vielhaus, Christian Leonard

Machine Learning for Congestion Control Book Chapter

In: Fitzek, Frank H. P.; Granelli, Fabrizio; Seeling, Patrick (Ed.): Computing in Communication Networks – From Theory to Practice, vol. 1, Chapter 18, pp. 329-340, Elsevier, 1, 2020, (https://cn.ifn.et.tu-dresden.de/compcombook/).

BibTeX