About Session
These sessions are for IEEE DySPAN attendees only.
These sessions take place between 9:30 a.m. – 10:30 a.m.
IEEE DySPAN Demos and Posters will be held in Washington I.
IEEE DySPAN Papers Session A5 – ML I will be held in Washington II and III.
- Channel Estimation via Loss Field: Accurate Site-Trained Modeling for Shadowing Prediction
- Domain Knowledge Powered Machine Learning for the Classification of LOS/NLOS Signals for Dedicated-Spectrum SAGIN Networks
- Advancing RAN Slicing with Offline Reinforcement Learning
IEEE DySPAN Papers Session B5 – Security and Privacy will be held in Monroe I and II.
- Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
- Pri-Share: Enabling Inter-SAS Privacy Protection via Secure Multi-Party Spectrum Allocation
- Anomaly Transmitter Recognition and Tracking