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eess.SP2026
Input-Correlated Supervision Noise Limits the Benefits of OTA Training for Learned Receivers
Riku Luostari, Dani Korpi, Olav Tirkkonen +1
While learned wireless receivers are typically studied using synthetic data, the impact of over-the-air (OTA) measurements for training remains unclear. We conducted a 5.88 GHz mea…
eess.SP2025
Demonstrating Interoperable Channel State Feedback Compression with Machine Learning
Dani Korpi, Rachel Wang, Jerry Wang +20
Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Var…