Mariusz Slabicki

Wireless Networks Researcher

Ericsson

I am a computer scientist, who is interested in many aspects of wireless communications. Right now I am working at Ericsson as a System Developer. I am responsible for providing high-level outputs related with 3GPP networks (4G and 5G).

In 2017 I have obtained PhD in Computer Science for the thesis about reconfiguration procedures for radio parameters in LTE networks. As a Postdoc at Aalto University I have conducted some research in LoRa networks. Some time ago, I was also dealing with management procedures for Internet of Things devices and Wireless Sensors Networks.

I am open for research cooperation with individuals and institutions which are related with wireless communication systems, 4G/5G, IoT and so on. If you see a possibility to do something together, feel free to contact me.

Interests

Management Mechanisms for 4G/5G/IoT
Wireless Sensor Networks
Network Protocols

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

Ericsson

May 2023 – Present Lund, Sweden

I am involved in developing 4G/5G networks to customers all over the world. My daily activites are related with developing an expected network functionality. It includes:

evaluation of early stage idea
analysis of potential costs and impacts
proposal how to implement it
providing documentation for further development stages

Senior System Analyst

Tietoevry

Jun 2021 – Apr 2023 Wroclaw, Poland

I was involved in cooperation with top-level partner who is delivering 4G/5G networks to customers all over the world. It included different stages of product development, from discussing about initial ideas up to verification of trial results and explaining functionalities to interested customers.

System Specification Engineer

Nokia

Jan 2018 – May 2021 Wroclaw, Poland

I was working as a Specification Engineer for 5G networks. Besides from my daily duties, I was occasionally giving lectures at Wroclaw University of Technology about IoT and cloud environment in 5G.

Postdoctoral Researcher

Department of Computer Science, Aalto University

Jan 2017 – Dec 2017 Espoo, Finland

I was working in a research team lead by Mario Di Francesco. My main activities were related with research in the area of management procedures in LoRa networks. During that time, I have developed FLoRa. Apart from that, I was also involved in teaching.

Research assistant

IITIS PAN

Jan 2014 – Dec 2016 Gliwice, Poland

I was a member of Wireless Network Optimization Team. At that time, I have prepared my PhD dissertation. My thesis concerned the reconfiguration methods in Wireless Networks, especially in LTE. I was also dealing with IoT management. As a subproject, 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 am using it in my LoRa networks research.

PyLTEs

PyLTEs is a framework that allows to evaluate models of protocols/mechanisms/approach for LTE networks. I have 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.

Some of my papers below:

Verónica Toro-Betancur, Gopika Premsankar, Chen-Feng Liu, Mariusz Słabicki, Mehdi Bennis, Mario Di Francesco (2022). Learning How to Configure LoRa Networks with No Regret: a Distributed Approach. In IEEE TII.

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Verónica Toro-Betancur, Gopika Premsankar, Mariusz Slabicki, Mario Di Francesco (2021). Modeling Communication Reliability in LoRa Networks with Device-level Accuracy. In IEEE INFOCOM 2021.

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Gopika Premsankar, Bissan Ghaddar, Mariusz Slabicki, Mario Di Francesco (2020). Optimal Configuration of LoRa Networks in Smart Cities. In IEEE TII.

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Mariusz Slabicki, Gopika Premsankar, Mario Di Francesco (2018). Adaptive configuration of lora networks for dense IoT deployments. In NOMS 2018.

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Contact

LinkedIn