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Link-adaptive digital twin for physical-layer modeling in ultra-wideband optical networks
US & West ·
A link-adaptive digital twin (LA-DT) is proposed for hybrid-amplified ultra-wideband links, overcoming generalization and speed limitations. The GSNR modeling task is decomposed into predictions of ASE, NLI, and signal powers, and dedicated neural networks with linear modulation layers (LMLs) are developed for cross-scenario generalization.
Why it matters
Improves accuracy and generalization of physical-layer modeling, which is critical for capacity optimization and reliability in modern optical networks.
The paper establishes deterministic feasibility guarantees for differentiable predictive control (DPC), a self-supervised approach for approximating explicit MPC policies. Through topological analysis of the induced reachable safe set, it shows DPC can guarantee feasibility without online safety filters.
A data-driven reachability analysis method computes over-approximations of reachable sets directly from online state measurements, without requiring an accurate dynamic model. It estimates time-varying unknown models using an exponentially forgetting zonotopic recursive least squares method that handles bounded noise.
The company Aktiv published the final document of a foresight session on the future of cyber-physical systems security in Russia. The document provides strategic recommendations and industry forecasts up to 2040.
