Predicting Conflict Impact on Performance in O-RAN
A method that predicts how much conflicts among O-RAN applications will degrade network performance, using profiling data and weighting each application by the frequency of its control actions.
A method that predicts how much conflicts among O-RAN applications will degrade network performance, using profiling data and weighting each application by the frequency of its control actions.
PACIFISTA profiles O-RAN applications in a sandbox and combines hierarchical graphs with statistical models to detect conflicts and gauge their severity before deployment, showing that even xApps with similar goals can cost users 16% of throughput.
A patented method that profiles network-control applications in simulation, predicts whether they will conflict and how severely, and decides which applications can safely be deployed together.
An automation framework built on OpenShift and GitOps that deploys an end-to-end, O-RAN-compliant 5G network in seconds and has run months of over-the-air tests without human intervention.