2 papers
cs.NI2026
Efficient Self-Learning and Model Versioning for AI-native O-RAN Edge
Mounir Bensalem, Fin Gentzen, Tuck-Wai Choong +3
The AI-native vision of 6G requires Radio Access Networks to train, deploy, and continuously refine thousands of machine learning (ML) models that drive real-time radio network opt…
cs.IT2022
Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems
Alva Kosasih, Vincent Onasis, Wibowo Hardjawana +4
Multiuser massive multiple-input multiple-output (MU-MIMO) systems can be used to meet high throughput requirements of 5G and beyond networks. In an uplink MUMIMO system, a base st…