Marcin Bosk, M.Sc.

E-Mail: bosk [AT] in.tum.de
Phone: +49 89 289-17356 (limited reachability)
Office: 01.05.041
Address:

TUM School of Computation, Information and Technology
Chair of Connected Mobility (I11)
Boltzmannstr. 3
85748 Garching

Marcin is a Researcher and a PhD Student at the Chair of Connected Mobility at Technical University of Munich. He obtained his Bachelor’s (2018) and Master’s (2020) degrees in “Computer Engineering” at the Technical University of Berlin. His research is mostly focused on Time-Sensitive and In-Vehicular networks, with special interest on novel and cross-layer approaches to their realization. He is also interested in the 5G and beyond mobile network architecture, especially considering network slicing and QoE-aware network management. 

Research Interests

  • Novel Approaches to In-Vehicular Networks
  • Time Sensitive Networking
  • Discrete Event Simulation (OMNeT++)
  • 5G Mobile Networks and Network Slicing
  • Infromation-Centric Networking

Thesis Topics

In case you are interested in an open thesis topic, feel free to get in touch via mail! When applying for a topic please follow the guidelines from here.

Legend: BT = Bachelor Thesis; MT = Master Thesis; IDP = Interdisciplinary Project

Open Topics:

  • MT/IDPIntegration of 5G Core QoE-Aware Resource Allocation with 5G RAN in OMNeT++/Simu5G
    • Details on 5G Core QoE-Aware Resource Allocation in publication "Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation" (see below)
    • Focus mostly on network slicing aspect
  • BT/MTEmulation of automotive networking protocols for the Environment for Generic In-vehicle Networking Experiments
    • Prepare and assess a method for generation of IVN CAN/FlexRay traffic for the EnGINE framework
    • Topic description

If you have ideas/interest in a different topic that aligns with my research and research interests, let me know!

In Progress:

  • IDP - Integration of Security Protocols into an Intra-Vehicle Networks Communication System

Finished:

  • BTPreparation and validation of a custom Linux kernel for Time-Sensitive Networking experiments
    • Author: Pierre Ballif; 2022
    • Create and assess a custom Linux kernel for In-Vehicular Network and Time-Sensitive Networking experiments within the EnGINE framework
  • IDPEmulation of Network Traffic for Applications in Autonomous Driving

Publications

2022:

  • Methodology and Infrastructure for TSN-based Reproducible Network Experiments
    IEEE Access, 2022.
    Marcin Bosk*, Filip Rezabek, Kilian Holzinger, Angela G. Marino, Abdoul A. Kane, Francesc Fons, Jörg Ott, Georg Carle
  • EnGINE: Flexible Research Infrastructure for Reliable and Scalable Time Sensitive Networks
    Journal of Network and Systems Management (JNSM) Special Issue on High Precision, Predictable, Low-Latency Networking, 2022.
    Filip Rezabek*, Marcin Bosk*, Thomas Paul, Kilian Holzinger, Sebastian Gallenmüller, Angela Gonzalez, Abdoul Kane, Francesc Fons, Zhang Haigang, Georg Carle, Jörg Ott
  • Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++
    IEEE International Conference on Computer Communications (INFOCOM), 2022.
    Marija Gajic*, Marcin Bosk*, Susanna Schwarzmann, Stanislav Lange, Thomas Zinner

2021:

  • Demo: Environment for Generic In-Vehicular Network Experiments - EnGINE
    IEEE Vehicular Networking Conference (VNC), 2021.
    Marcin Bosk*, Filip Rezabek*, Kilian Holzinger, Angela Gonzalez, Abdoul Kane, Francesc Fons, Zhang Haigang, Georg Carle, and Jörg Ott
  • EnGINE: Developing a Flexible Research Infrastructure for Reliable and Scalable Intra-Vehicular TSN Networks
    3rd International Workshop on High-Precision, Predictable, and Low-Latency Networking, 2021.
    Filip Rezabek, Marcin Bosk, Thomas Paul, Kilian Holzinger, Sebastian Gallenmüller, Angela Gonzalez, Abdoul Kane, Francesc Fons, Zhang Haigang, Georg Carle, and Jörg Ott.
  • Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation.
    17th International Conference on Network and Service Management (CNSM), 2021.
    Marcin Bosk*, Marija Gajić*, Susanna Schwarzmann, Stanislav Lange, Riccardo Trivisonno, Clarissa Marquezan, and Thomas Zinner.
  • HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework. 
    8th OMNeT++ Community Summit, 2021. 
    Marcin Bosk*, Marija Gajić*, Susanna Schwarzmann, Stanislav Lange, and Thomas Zinner.

2019:

  • Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning.
    Internet-QoE'19, 2019.
    Susanna Schwarzmann, Clarissa Cassales Marquezan, Marcin Bosk, Huiran Liu, Riccardo Trivisonno, and Thomas Zinner

* Contributed equally