2026 · IEEE Workshop on 6G AI-RAN

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.

March 2026 · Pietro Brach del Prever, Niloofar Mohamadi, Salvatore D'Oro, Leonardo Bonati, Michele Polese, Łukasz Kułacz, Piotr Jaworski, Adrian Kliks, Heiko Lehmann, Tommaso Melodia
2025 · IEEE Transactions on Mobile Computing

PACIFISTA: Conflict Evaluation and Management in Open RAN

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.

October 2025 · Pietro Brach del Prever, Salvatore D'Oro, Leonardo Bonati, Michele Polese, Maria Tsampazi, Heiko Lehmann, Tommaso Melodia
2025 · US Patent Office

Methods for Detecting, Evaluating, and Mitigating Conflicts in Open RAN Systems

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.

July 2025 · Leonardo Bonati, Salvatore D'Oro, Tommaso Melodia, Pietro Brach del Prever, Michele Polese
2025 · IEEE Communications Magazine

5G-CT: Automated Deployment and Over-the-Air Testing of End-to-End Open Radio Access Networks

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.

January 2025 · Leonardo Bonati, Michele Polese, Salvatore D'Oro, Pietro Brach del Prever, Tommaso Melodia