1 citations · 1 across the 5 of their papers we have counts for
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Combining Improvements in Uplink AI-RAN
Petteri Kela, Dani Korpi, Mikko Honkala
One of the major transformative factors in 6G will be the integration of Artificial Intelligence (AI) to become a native part of Radio Access Network (RAN). While most physical-lay…
Cross-Site Transfer and Spatial Forgetting in OTA-Trained Neural Receivers
Riku Luostari, Dani Korpi, Harri Holma +1
Most published neural-receiver studies train on synthetic channel models, although real over-the-air measurements can improve performance. We examine how much of this benefit trans…
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…
EqDeepRx: Learning a Scalable and Interference Mitigating MIMO Receiver
Mikko Honkala, Dani Korpi, Elias Raninen +1
While machine learning (ML)-based receiver algorithms have received a great deal of attention in the recent literature, they often suffer from poor scaling with increasing spatial…