2 papers
eess.SP2025
Cross-Comparison of Neural Architectures and Data Sets for Digital Self-Interference Modeling
Gerald Enzner, Niklas Knaepper, Aleksej Chinaev
Inband full-duplex communication requires accurate modeling and cancellation of self-interference, specifically in the digital domain. Neural networks are presently candidate model…
eess.SP2025
On Digital Optimization of Analog Self-Interference Cancellation for Full-Duplex Wireless Systems
Niklas Knaepper, Gerald Enzner, Aleksej Chinaev
Wireless systems with inband full-duplex transceiver typically require multiple lines of defense against the effect of harsh self-interference, specifically, to avoid saturation of…