From ZSM to O-RAN: Enabling AI-Driven 6G Networks
The Zero-Touch Network and Service Management (ZSM) framework is realized through O-RAN, where Non-RT and…
ByPhilip
Local Outlier Factor: The Key to Smarter AI/ML Retraining
Detecting new traffic patterns in B5G networks requires unsupervised anomaly detection. We compared OC-SVM, Isolation…
Why Threshold-Based Retraining Fails in 6G
Retraining AI/ML models on fixed thresholds or periodic schedules leads to SLA violations or unnecessary…
Predictive Retraining: The Future of AI/ML in B5G Networks
Static retraining schedules fail in dynamic B5G networks. Our predictive approach uses unsupervised classifiers (e.g.,…