Mariusz Slabicki

Mariusz Slabicki

System Developer

Ericsson

I am a System Developer at Ericsson in Lund, Sweden, working on radio access network (RAN) systems. I develop new 4G/5G features in areas such as Massive MIMO and beamforming, work on the productization of Integrated Sensing and Communication (ISAC), and carry out early feasibility studies of new functionality across radio and baseband. Simulation, from link level to system level, is my main tool for taking a feature from idea to product.

In 2017, I obtained a PhD in Computer Science with a thesis on reconfiguration procedures for radio parameters in LTE networks. As a postdoc at Aalto University, I conducted research on LoRa networks. Earlier, I also worked on management procedures for Internet of Things devices and Wireless Sensor Networks.

I am open to research collaboration with individuals and institutions working on wireless communication systems, 4G/5G, IoT and related fields. If you see an opportunity to work together, feel free to contact me.

Interests
  • 6G and Integrated Sensing and Communication (ISAC)
  • Massive MIMO and beamforming
  • Network simulation and performance evaluation
  • IoT connectivity
Education
  • Ph.D. in Computer Science, Wireless Networks, 2017

    Silesian University of Technology, Poland

  • M.Sc.Eng. in Teleinformatics, 2011

    Wroclaw University of Technology, Poland

Experience

 
 
 
 
 
System Developer
May 2023 – Present Lund, Sweden

I develop new features for 4G/5G radio access networks across several projects, from early-stage ideas to implementation-ready specifications:

  • working on the productization of Integrated Sensing and Communication (ISAC), including link-level simulations
  • feasibility studies of new functionality in Radio–Baseband Co-design
  • designed SRS and Cell-Shaping features for beamforming optimization
  • evaluated P2A strategies for CSI-RS delivery and codebook configurations
  • delivered an energy consumption metrics framework to a customer
 
 
 
 
 
Senior System Analyst
Jun 2021 – Apr 2023 Wroclaw, Poland
I worked with a tier-1 vendor that delivers 4G/5G networks to customers all over the world, covering product development from initial ideas to trial results. I led the study of PIM Detection and PIM Cancellation features and presented new functionality to prospective customers.
 
 
 
 
 
System Specification Specialist
Jan 2018 – May 2021 Wroclaw, Poland
I managed functional and system-level requirements for a 5G SA product and was key research personnel in an NCBR-funded national 5G project. I also coordinated R&D cooperation with Wroclaw University of Science and Technology, where I gave lectures about IoT and cloud environments in 5G.
 
 
 
 
 
Postdoctoral Researcher
Jan 2017 – Dec 2017 Espoo, Finland
I worked in a research team led by Mario Di Francesco. My research focused on management procedures in LoRa networks. During that time, I developed FLoRa. I was also involved in teaching.
 
 
 
 
 
Research Assistant
Jan 2014 – Dec 2016 Gliwice, Poland
I was a member of the Wireless Network Optimization Team. During that time, I prepared my PhD dissertation on reconfiguration methods in wireless networks, especially LTE. I also worked on IoT management. As part of this work, I was the main developer of PyLTEs.

Projects

FLoRa
FLoRa is a simulation framework for carrying out end-to-end simulations for LoRa networks. It is based on the OMNeT++ network simulator. I created it during my postdoc at Aalto University.
PyLTEs
PyLTEs is a framework for evaluating models of protocols, mechanisms and approaches for LTE networks. I used it in my PhD research.

Publications

The current list of my publications can be found on my Google Scholar profile. If you would like to find more information about my publications and previous research, please contact me directly.

Selected papers:

(2022). Learning How to Configure LoRa Networks with No Regret: a Distributed Approach. In IEEE TII.

PDF Cite DOI

(2021). Modeling Communication Reliability in LoRa Networks with Device-level Accuracy. In IEEE INFOCOM 2021.

PDF Cite DOI

(2020). Optimal Configuration of LoRa Networks in Smart Cities. In IEEE TII.

PDF Cite DOI

(2018). Adaptive configuration of lora networks for dense IoT deployments. In NOMS 2018.

PDF Cite DOI

Contact