TrustOPT: Trusted Online Optimization for Autonomous Driving Optical Networks with Field-Trial Demonstration

We propose a trusted optical power optimization strategy for ADON. Field trial experiments demonstrate reliable optimization while maintaining a 4-dB Q-factor margin. System performance remains above the threshold even with an initial 0.15-dB Q-factor margin.