Tentative schedule for school year 2023/2024

Carefull: the exact lecture timeslots can shift and the talks may be rescheduled on-the-fly. Please check this list on the day of interest in the morning for the final schedule. 

3rd April 2024 9:00 - 12:00 Meeting Vienna - TU Wien

Online session, connect using ZOOM link TODO.

Presentations:

1. Millimeter Wave Channels for Evaluation of Orthogonal Time Frequency Space Modulation

2. Antenna Modeling for Future Applications

3. Channel Estimation for mmWave MIMO using sub-6 GHz Out-of-Band Information.

4. Considerations of computational complexity for OFDM-sidelobe reduction with TD-EAIC

5. Movement Reconstruction in Single-Channel UHF RFID Systems through Particle Filter-based Algorithms

6. The current state of MIMO-Lab testbed interfaces

7. Measurement of reconfigurable intelligent surface (RIS) for 6G

8. Measurement-based Multi-band Clutter Loss Modeling for Non-terrestrial Network 

18th April 2024 13:00 - 14:40 Meeting Bratislava - FEI STU

FEI, STU, Ilkovicova 3, 84104, Bratislava, Room BC-150

Online connection using Google Meet possible using THIS link.

Ing. Matúš Turcsány, PhD.  - Chief Technology Officer at Ericsson 

13:00 - 13:40 Trends in 5G netvorks - a vendors perpective

Ing. Martin Mačuha, PhD. - Technology Consulting Senior Manager at Accenture

13:40 - 14:10 AI and GenAI usage in Telecommunications - Intro to AI, Generative AI, and practical usage in Telecommunication Networks

Ing. Stanislav Dlháň, PhD. - Solution Architect at Accenture

14:10 - 14:40 AI and GenAI usage in Telecommunications - Integration of Generative AI in Smarthome systems

About

Since 2008 we've been co-organizing the international seminar for students from three universities in three countries. The  seminar, offered to students at STU as an extracurricular activity, deals with advanced topics regarding primarily cellular wireless networks. Over the years, interesting research topics on 3G, 4G, and later 5G and beyond, as well as IoT networking trends, satellite communications, advanced cloud techniques, along with practical information on the challenges of carrier-grade network deployment were brought to students by established professionals from academia and industry. Our primary partners are the Institute of Telecommunications at the Vienna University of Technology (TUW) in Austria and Center of Sensor, Information and Communication Systems at the Faculty of Electrical Engineering and Communication, Brno University of Technology (VUT) in Czech Republic.  The informal cooperation between three main organizers - STU, TUW and VUT has been formalized in 2020 by signing a trilateral memorandum of understanding for the future support of joint educational and research activities.

Supervisor for Slovakia: prof. Ing. Peter Farkaš, DrSc.

Deputy supervisor for Slovakia: Ing. Tomáš Páleník, PhD., tomas.palenik@stuba.sk 

Bibliography

1. Chen, Y., Lin, X., Khan, T., & Mozaffari, M. (2019). Efficient drone mobility support using reinforcement learning. ArXiv, 2–7.

2. Hu, Y., Chen, M., Saad, W., Poor, H. V., & Cui, S. (2020). Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks, 1–31. Retrieved from http://arxiv.org/abs/2012.03158

3. Dai, A., Li, R., Zhao, Z., & Zhang, H. (2020). Graph Convolutional Multi-Agent Reinforcement Learning for UAV Coverage Control, 1106–1111. https://doi.org/10.1109/wcsp49889.2020.9299760

4. Cao, Y., Lien, S. Y., & Liang, Y. C. (2020). Deep Reinforcement Learning For Multi-User Access Control in Non-Terrestrial Networks. IEEE Transactions on Communications, 6778(c), 1–15. https://doi.org/10.1109/TCOMM.2020.3041347

5. Liu, C. H., Ma, X., Gao, X., & Tang, J. (2020). Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning. IEEE Transactions on Mobile Computing, 19(6), 1274–1285. https://doi.org/10.1109/TMC.2019.2908171

6. Gama, F., Isufi, E., Leus, G., & Ribeiro, A. (2020). Graphs, Convolutions, and Neural Networks, (November).

7. Wu, M., & Li, C. (2020). 5G Wireless Intelligent Propagation Channel Modelling Based on Deep Residual Network. Proceedings – 2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications, CTISC 2020, 64–70. https://doi.org/10.1109/CTISC49998.2020.00017

8. Li, T., Zhu, X., & Liu, X. (2020). An End-to-End Network Slicing Algorithm Based on Deep Q-Learning for 5G Network. IEEE Access, 8, 122229–122240. https://doi.org/10.1109/ACCESS.2020.3006502

Notable past lecturers:

• • Eric Dahlman - Senior Expert in Radio Access Technologies at Ericsson Research, Sweden

  • Joachim Wehinger - Engineering manager at Intel Corporation, Germany

  • prof. Ing. Bernard Fleury, Dr. Sc. Techn. - Aalborg University, Denmark

  • prof. Ing. Markus Rupp, Dr.techn. - Institute of Telecommunications, Vienna University of Technology, Austria

  • prof. Ing. Christoph Mecklenbräuker, Dr.Ing. - Institute of Telecommunications, Vienna University of Technology, Austria

  • Prof. RNDr. Vladimír Bužek, DrSc. - Slovak Academy of Sciences, Slovakia

2nd March 11:00 Vienna

• A Glance of Propagation and Channel Modeling for Railway Communications from 2G to 6G

• Ke Guan

• EI5 (Gusshausstrasse 25 / 389), 

• Link for online stream: https://tuwien.zoom.us/j/65892136715 ZOOM Meeting ID: 658 9213 6715

• Abstract: In contrary to theoretical or stochastic channel models that emulate the “averaged” channel in a certain type of use case, the realistic channel models generate site-specific channel information “right here right now”, and therefore, can support high-quality network planning, advanced communication systems design, radar detection, and high-precision positioning. This presentation gives a glance at the propagation and wireless channel modeling for railway communications from 2G (GSM-R) to 5G and even future 6G from sub-6 GHz to millimeter-wave and terahertz bands, with special focus on realistic channel modeling technique, high-performance ray-tracing platform – CloudRT (http://raytracer.cloud/) and its applications. 

13th April 16:00 - 18:00 Brno

• Engineering problems in Space

• Dr. Suat Ayoz, Honeywell

27th April 11:00 - 12:00 Bratislava FEI STU Room B-702

• Cellular mobile ecosystem update

• Ing. Matú Turcsány, PhD., Chief Technology Officer (Czech, Hungary, Slovakia, Slovenia) Ericsson.

• Connection link: https://meet.google.com/vqc-xejy-anz 

• Lecture will take place in mixed online/present form. 

  • Address for present form: 

  • Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

  • Fakulta Elektrotechniky a Informatiky, Slovenská Technická Univerzita

  • Ilkovičova 3, 812 19 Bratislava, Slovakia

4th May 16:00 - 18:00 Brno room: T12/SD 1.47

• R&D Projects for Space Application

• Dr. Ondrej Krepl (OHB Czechspace)

• Abstract: 

• In the first part of the lecture, we will answer the question of the purpose of using space technologies. We will elaborate on the motivation for the creation of various space missions. The lecturer will briefly explain how cooperation between the European Space Agency and the space industry / academic institutions and national agencies works.

• In the second part of the lecture, we will look at how a space mission is prepared and then how satellites are designed in terms of individual sub-systems. We will take a closer look at how to develop and build a satellite structure so that the satellite can survive the launch on a rocket carrier and its stay in orbit.

• The entire lecture will be conducted in an interactive format with students, where the lecturer will provide practical examples that arose during his work on more than 7 different space missions.

• Connection link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ODViNzYxYzYtYmZjMy00YjQxLWExMDQtMzQxMjE4MjNlNDRh%40thread.v2/0?context=%7b%22Tid%22%3a%22c63ce729-ca17-4e52-aa2d-96b79489a542%22%2c%22Oid%22%3a%2251d1bdec-7c28-4ff1-bc54-59519ad1df58%22%7d

• Street address:

Brno University of Technology, 

Technicka 12, 

Brno, Czechia