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, 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.  Since 2017 the Faculty of Informatics of the Pan-European University in Slovakia started to participate on this seminar, offering it's students access directly within the courses of its curriculum. 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.

Most  recent information at the TUW seminar site.

Zoom link for all online lectures:  https://tuwien.zoom.us/j/97241397442?pwd=RDdRL1pLY2tLb1dTem55dEQzRm8xQT09

Schedule for school year 2020/2021

4th March 2021 13:00 Vienna

• Introduction to 5G Simulator (Recorded Session), Prof. Kaltenberger (EURECOM)

11th March 2021 13:00 Bratislava

• Virtualized RAN as a service Ing. Martin Macuha, PhD. Technology Consulting Manager at Accenture

18th March 2021 13:00 Bratislava

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

25th March 2021 13:00 Vienna.

• 13.00 Elmar Trojer (Ericsson Research)

• 14.00 David Gesbert (EURECOM)

8th April 2021 9:30 Brno

• ing. Michal Pokorný, Ph.D. (Resideo)

15th April 2021 9:00 Brno

• RF engineering for advanced satellite telecommunication payloads ing. Václav Valenta, Ph.D. (ESA)

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

9. Lv, Z., Qiao, L., & You, I. (2020). 6G-Enabled Network in Box for Internet of Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems, 1–8. https://doi.org/10.1109/tits.2020.3034817

10. Shafin, R., Liu, L., Chandrasekhar, V., Chen, H., Reed, J., & Zhang, J. C. (2019). Artificial intelligence-enabled cellular networks: A critical path to beyond-5G and 6G. ArXiv, (April), 212–217.

11. Sliwa, B., Falkenberg, R., & Wietfeld, C. (2020). Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks. ArXiv, 6–10.

12. Forward, C., Bandwidth, E., & Access, M. (2020). Machine Learning for 6G Wireless, (September), 2–14.

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