3 papers
eess.SP2025
VERITAS: Verifying the Performance of AI-native Transceiver Actions in Base-Stations
Nasim Soltani, Michael Loehning, Kaushik Chowdhury
Artificial Intelligence (AI)-native receivers prove significant performance improvement in high noise regimes and can potentially reduce communication overhead compared to the trad…
eess.SP2025
ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search
Mauro Belgiovine, Suyash Pradhan, Johannes Lange +2
Industry adoption of Artificial Intelligence (AI)-native wireless receivers, or even modular, Machine Learning (ML)-aided wireless signal processing blocks, has been slow. The main…
eess.SP2025
Experimental Demonstration of Over the Air Federated Learning for Cellular Networks
Suyash Pradhan, Asil Koc, Kubra Alemdar +6
Over-the-air federated learning (OTA-FL) offers an exciting new direction over classical FL by averaging model weights using the physics of analog signal propagation. Since each pa…