On June 30th, our colleagues from TU Dortmund University will present their most up to date research results on Communication Networks
10:00 – 10:10 Opening
10:10 – 10:55 Research insights into the benefits of millimeter wave communications for mobile networks of beyond 5G
At the latest since 5G, the millimeter wave (mmWave) domain has received attention for mobile networks due to the large amount of available radio resources. However, the exploitation of this spectrum is still limited, because radio propagation is significantly different from conventional frequency bands. This presentation provides some research insights into the benefits of mmWave communications for cellular networks, especially relevant for vehicular and mobility-related use cases.
10:55 – 11:15 SAMUS: Slice-Aware Machine Learning-based Ultra-Reliable Scheduling
Machine Learning is essential to provide end-to-end quality of service guarantees within the scope of 5G Network Slicing, e.g. for vertical industries. In this talk, the realization and evaluation of the data-driven and 5G Network Slicing-capable prototype SAMUS is presented.
11:15 – 12:00 Resource-Efficient Vehicle-to-Cloud Communications Leveraging Machine Learning
Vehicular data is anticipated to become the „new oil“ of the automotive industry, which fuels the emergence of a multitude of crowdsensing-enabled services. However, the tremendous increase in transmitted data represents a massive challenge for the coexistence of different users and services within resource-constrained cellular networks. In this talk, client-based and machine learning-enabled opportunistic networking is proposed as a novel solution approach for achieving a better efficiency of the existing network resources.
Stay tuned for the expert talks from TU Dortmund University with following speakers:
Prof. Dr.-Ing. Christian Wietfeld (Communication Networks Institute, TU Dortmund University)
Karsten Heimann (Competence Center 5G.NRW, Communication Networks Institute, TU Dortmund University)
Caner Bektas (Communication Networks Institute, TU Dortmund University)
Benjamin Sliwa (Collaborative Research Center SFB 876, Communication Networks Institute, TU Dortmund University)
Save the date and watch the live event here.