arXiv subjects
Publications and source records attributed to Enrico Miotto.
We demonstrate TwinLight, an open-source optical-network digital twin acting as an optical domain controller. Its T-API REST and telemetry streaming interfaces expose a physical-layer engine that combines a GNPy steady-state baseline with four analytical transients.
Optical Network Digital Twins (ONDTs) are emerging as a key framework for representing, synchronizing, and utilizing the physical state of optical networks for quality-of-transmission (QoT) estimation, optimization, and intelligent operation. This survey provides a comprehensive view of ONDTs, spanning digital coherent transmission and physical-layer observability to intelligent network operations. We systematically organize ONDT technologies from ecosystem, functional, control, and implementation architecture perspectives and review the enabling technologies required to construct, synchronize, and utilize digital representations of physical optical networks. As a unifying framework to describe both ONDT design and validation, we introduce a categorization based on the following figures of merit: Fidelity, Dynamicity, and Deployability (FDD). In particular, we emphasize fit-for-purpose Fidelity, where modeling effort focuses on the physical effects of components rather than solely maximizing model accuracy, favoring scalability and generalizability. Furthermore, experimental and field validations are examined to evaluate the practical applicability of ONDT technologies. We further examine experimental and field validations, from physics-based QoT estimation and measurement-informed model refinement to field synchronization, service provisioning, multi-domain observability, and infrastructure characterization. Finally, we discuss the complementary roles of ONDTs and AI agents toward autonomous optical networks and identify key research directions for practical deployment.
This paper develops and validates a discrete-time modeling framework for the joint impact of cascaded optical filtering, distributed ASE noise, and transceiver noise in coherent optical links. The work focuses on the post-equalization signal-to-noise ratio, which is the central quantity used to quantify filtering penalty under receiver DSP. Starting from an optical-link abstraction with arbitrary filter transfer functions and colored noise spectra, we derive analytical expressions for the matched-filter bound, Zero-Forcing Equalization, Minimum Mean Square Error Equalization, Fractionally Spaced Equalization, and finite-length equalizers with and without explicit colored-noise treatment. The model is coupled to a measurement-based transceiver SNR characterization, so that optical-link penalties and receiver impairments can be evaluated within the same formulation. Time-domain simulations with LMS equalization validate the analytical predictions over severe filtering conditions, different tap lengths, and different ASE-noise positions along the link. Experimental results with commercial transceivers and ROADMs further confirm the accuracy of the MMSE and FSE models, while highlighting the role of realistic filter modeling and equalizer implementation limits. The resulting framework provides a tractable basis for quality-of-transmission estimation and optical-network digital-twin implementations.