Optical Span Amplification Settings Using Analytical Noise Modeling

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Solution Overview

Problem

Existing methods for computing optimal amplification parameters in multi-span optical fiber networks, especially when using forward Raman amplification, are computationally intensive and impractical, failing to efficiently account for nonlinear effects and varying fiber characteristics, leading to suboptimal network performance.

Innovation Solution

A method and device for computing optimal amplification parameters using an analytical form of signal power evolution, combining linear and nonlinear noise calculations to determine independent gain and output power settings for discrete and Raman amplifiers, allowing for precise and efficient optimization of each span in the network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If trial-and-error numerical optimization is used to compute optimal amplification parameters, then optimization accuracy is improved, but computational time and complexity increase significantly

Engineering Contradiction:
Improveoptimization accuracyVSAvoidcomputational time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-calculating and storing fiber span characteristics (nonlinear coefficient, effective area, loss) during network planning. These pre-computed parameters enable direct calculation of optimal amplification settings without time-consuming numerical optimization during actual network commissioning, thus achieving both accuracy and speed.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical trial-and-error numerical optimization process with an analytical calculation system. By substituting iterative numerical methods with closed-form equations that directly compute optimal parameters based on pre-stored fiber characteristics, the system achieves comparable accuracy with dramatically reduced computational time.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If complex numerical optimization methods are applied to account for nonlinear effects, then optimization accuracy is improved, but device complexity and implementation difficulty increase

Engineering Contradiction:
Improveoptimization accuracyVSAvoidimplementation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex optimization problem into manageable components by separating fiber span characteristics (stored in lookup tables) from amplification parameter calculations. This segmentation allows the complex nonlinear effects to be accounted for through pre-computed fiber data rather than complex real-time calculations, reducing implementation complexity while maintaining accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediary lookup tables that store pre-computed fiber span characteristics. These intermediaries bridge the gap between complex nonlinear fiber effects and the amplification parameter calculation, allowing accurate optimization without requiring complex real-time mathematical models in the actual implementation.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Device complexity

If existing optimization methods are used without accounting for forward Raman amplification effects, then computational simplicity is maintained, but optimization accuracy deteriorates

Engineering Contradiction:
Improvecomputational simplicityVSAvoidoptimization accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent changes the approach by modifying the signal power evolution equations to include forward Raman amplification effects. By updating the mathematical model to account for Raman gain and its impact on signal power distribution, the system achieves accurate optimization in the presence of Raman amplification while maintaining computational efficiency through analytical solutions.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables fast, accurate computation of optimal amplification parameters, optimizing network performance by maximizing optical signal-to-noise ratio and transmission capacity, even in heterogeneous fiber networks with varying technologies, during planning and commissioning phases.

Implementation Method 1

Raman amplification is a process that enhances the strength of optical signals by using stimulated Raman scattering within an optical fiber

Methodology Applied
Scientific EffectStimulated Raman scattering:

Implementation Method 2

The amplifiers produce adequate optical gains to compensate for power losses to optical signals in the immediately preceding fiber span

Methodology Applied
Scientific EffectOptical amplification:

Data Source

PatentUS20260031908A1Method and Network Control Device for Computing a Set of Optimal Amplification Parameters for a Span of a Multi-Span Optical Fiber Network
Publication Date: 2026.01.29 ADTRAN NETWORKS SE
  • US20260031908A1 patent drawing
  • US20260031908A1 patent drawing
  • US20260031908A1 patent drawing

AI summary

A method for computing a set of optimal amplification parameters for a span of a multi-span optical fiber network. Each span has an associated optical transmission fiber connected to associated amplifiers. The associated amplifiers include a forward Raman amplifier and at least one discrete amplifier. Gain and output power of the at least one discrete amplifier is respectively controlled independently. The method includes the steps of providing an analytical form of the signal power evolution along the corresponding span; computing a linear noise from amplifier noise figures and a non-linear noise generated in the corresponding span based on information about the span and the analytical form of the signal power evolution and using the computed linear noise and non-linear noise to compute the impact on the span performance; and computing a set of optimal amplification parameters for the corresponding span based on the impact on the span performance.