Reinhard Wiesmayr receives an NVIDIA Graduate Fellowship!
Reinhard Wiesmayr received a prestigious NVIDIA Graduate Fellowship for his research towards intelligent and adaptive 5G and 6G wireless systems that build on machine learning.
Selected from a highly competitive applicant pool, Reinhard Wiesmayr will participate in a summer internship preceding the fellowship year. “Our fellowship recipients are among the most talented graduate students in the world,” said NVIDIA Chief Scientist Bill Dally. See the award announcement external pagehere.
A vital piece for Reinhard's Wiesmayr's work is a 5G virtual radio access network (vRAN) system, which is based on the external external pageNVIDIA Aerial Research Cloud platform.
The platform is 5G standards-compliant and fully software-defined, which enables rapid prototyping and over-the-air validation of novel baseband algorithms. While wireless communications research typically relies on system simulations, only experiments with a real-world 5G network can confirm the true viability and efficacy of machine learning-assisted baseband algorithms for future 6G wireless systems.
More information about Reinhard's research can be found here:
Introducing Machine-Learning-Assisted 5G at ETH Zurich and Real World 5G System.
Congratulations!