5 papers
On the Impact of Site-Specific Training for a Real-World 5G NR System
Reinhard Wiesmayr, Nuri Berke Baytekin, Chris Dick +1
Site-specific training can improve wireless receiver performance without increasing computational complexity. However, real-world results have so far focused on fully trainable neu…
Site-Specific Finetuning of Neural Receivers with Real-World 5G NR Measurements
Nuri Berke Baytekin, Reinhard Wiesmayr, Sebastian Cammerer +2
Finetuning wireless receivers to a specific deployment scenario can yield significant error-rate performance improvements without increasing processing complexity. However, site-sp…
CSI-Based User Positioning, Channel Charting, and Device Classification with an NVIDIA 5G Testbed
Reinhard Wiesmayr, Frederik Zumegen, Sueda Taner +2
Channel-state information (CSI)-based sensing will play a key role in future cellular systems. However, no CSI dataset has been published from a real-world 5G NR system that facili…
Optimizing Puncturing Patterns of 5G NR LDPC Codes for Few-Iteration Decoding
Reinhard Wiesmayr, Darja Nonaca, Chris Dick +1
Rate-matching of low-density parity-check (LDPC) codes enables a single code description to support a wide range of code lengths and rates. In 5G NR, rate matching is accomplished…
ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO
Qing An, Mehdi Zafari, Chris Dick +3
As wireless communication systems strive to improve spectral efficiency, there has been a growing interest in employing machine learning (ML)-based approaches for adaptive modulati…