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Topology-Constrained Generative Modeling for Performance Monitoring and Structural Anomaly Definition in Optical Transport Networks
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DOI：10.1109/tnsm.2026.3715222.png)
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Abstract
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Electrical-layer performance monitoring (PM) in optical transport networks is reported as window-aggregated counters, under which propagation delay and signal regeneration boundaries are not directly observable. Consequently, different impairment mechanisms can lead to statistically similar PM trajectories, leaving PM-only methods without a principled notion of nominal behavior or anomaly detectability. To address this limitation, this paper proposes Topology-Constrained Partially Observed Dynamical System (TC-PODS). TC-PODS defines a topology-consistent nominal predictive reference directly in PM space by introducing a latent impairment state (LAT) that enforces service-path propagation and regeneration semantics as supervisory constraints, while explicitly modeling the irreversible projection induced by windowed PM observation. This formulation disambiguates nominal variability from anomalous behavior under partial observability and defines anomalies as PM trajectories that are incompatible with any topology-consistent nominal generation. By shifting PM analysis from algorithm-centric detection toward detectability-aware inference under the deployed observation protocol, TC-PODS provides a principled framework for forecasting and anomaly interpretation under partial observability, with future applications to structure-aware failure management.
Keywords:
Optical transport networks
performance monitoring
partial observability
anomaly detectability
topology-constrained generative models
window-aggregated statistics
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