This project studies how AI-native radio access networks can be tested, stressed, and defended under realistic wireless and system conditions. The work focuses on resilience testing, vulnerability probing, anomaly discovery, and defense mechanisms for intelligent and programmable RAN systems.
Research Focus
- AI-enabled resilience testing for RAN control and management workflows
- Vulnerability discovery in AI-RAN and O-RAN systems
- Defense mechanisms against unstable, malicious, or unexpected network behavior
- Reliable and trustworthy AI-native wireless network operation