CNI presents latest 6G research findings at IEEE PIMRC
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Various recent research findings from the CNI team were presented at this year's IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2025): Melina Geis presented the key findings of the paper “Leveraging Transfer Learning for Rapid Adaptation of ML-Based Indoor Propagation Models,” while Marco Danger shared the results of the work entitled “Improving Energy Efficiency of Industrial mmWave Connectivity with Context-Sensitive IRS Support.” In addition to their own presentations, the team gained many exciting insights into a wide variety of topics in current 6G research in numerous tutorials, workshops, key notes, and further presentations.
More information can be found here:
- M. Geis, N. Faust, H. Schippers, S. Böcker, C. Wietfeld, "Leveraging Transfer Learning for Rapid Adaptation of ML-Based Indoor Propagation Models," in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Türkiye, September 2025. [pdf] [Details]
- M. Danger, M. Khalili, S. Böcker, C. Wietfeld, "Improving Energy Efficiency of Industrial mmWave Connectivity with Context-Sensitive IRS Support," in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Türkiye, September 2025. [pdf] [Details]