Optical Network Signal Viability Metrics
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Solution Overview
Problem
Current optical communication networks face challenges in dynamically assessing signal viability due to computationally intensive non-linear simulations, which are unsuitable for agile optical networks requiring rapid routing changes, leading to limitations in network flexibility and efficiency.
Innovation Solution
A set of metrics is developed to predict the behavior of wavelengths based on fiber type, length, and input power, approximating distortive and noisy effects, allowing for efficient and flexible routing algorithms by simplifying the analysis process and enabling dynamic configuration changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-linear simulations are used to determine signal viability, then measurement precision is improved, but analysis time increases significantly
Solution Approach 1:
The patent segments the complex non-linear simulation process into multiple simplified analysis stages. Instead of performing a complete non-linear simulation all at once, the system breaks down the signal path analysis into discrete segments (fiber spans, amplifier sections, etc.) and evaluates each segment's impact on signal quality independently, then combines these segmented results to assess overall viability.
Solution Approach 2:
The patent performs preliminary calculations of signal degradation metrics for each segment before making the final viability determination. By pre-calculating the impact of dispersion, non-linearity, and noise for individual segments using simplified models, the system avoids the need for time-consuming complete simulations when assessing each potential path.
2Measurement precision
If traditional simulation tools are used to model wavelength propagation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential signal degradation characteristics from complex non-linear simulations and represents them using simplified analytical expressions. Instead of using the full non-linear Schrodinger equation, the system extracts key metrics (dispersion-induced broadening, non-linearity effects, noise accumulation) and uses closed-form or simplified recursive formulas to compute these effects, significantly reducing computational complexity while maintaining accuracy.
Solution Approach 2:
The patent changes the mathematical parameters and models used in the analysis. Rather than using the complete non-linear wave propagation equations with multiple simultaneous differential equations, the system transforms the problem into a series of algebraic calculations involving signal quality metrics that can be computed using standard arithmetic operations and simple iterative updates.
3Measurement precision
If rigorous calculation of XPM and FWM effects is performed, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent applies partial calculations of XPM and FWM effects rather than rigorous complete calculations. Instead of solving the full non-linear interaction equations for all wavelength combinations, the system uses simplified models that capture the dominant effects of cross-phase modulation and four-wave mixing through analytical approximations, computing only the essential metric contributions needed for viability assessment.
Data Source
AI summary
It is desirable to provide an improved system for describing the impact of a change in routing on the performance of wavelengths traversing the links in a optical communication network. It is also desirable that such a system be computationally simple. The present invention accomplishes these aims by providing a mechanism for the development of a set of metrics that describe the impact of different fiber types and lengths bearing a number of wavelengths, on one of the wavelengths propagated by a given input power. These metrics permit the prediction of a wavelength's behaviour by simple calculations. Accordingly, the need for full non-linear simulation is obviated, thereby improving the speed, efficiency and flexibility of optical layer routing algorithms.