Optical Module Calibration for Real-Time Incremental Noise Modeling
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Solution Overview
Problem
Existing methods for calculating nonlinear interference in optical networks underestimate penalties in low loss spans and fail to consider coherent nonlinear interference in heterogeneous fiber concatenations, leading to inaccurate performance estimation.
Innovation Solution
A method for determining incremental noise metrics, including Signal-to-Noise Ratio (SNR), that accurately estimates nonlinear interference in low loss spans and corrects for upstream noise sources in heterogeneous fiber concatenations, enabling real-time performance modeling and routing decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If closed-form GN model solutions are used for fast nonlinear estimation, then computational efficiency is improved, but accuracy deteriorates for low loss spans
Solution Approach 1:
The patent changes the modeling approach from closed-form approximations to numerical integration methods, adjusting the calculation parameters to achieve both speed and accuracy. By using pre-computed integration results and efficient algorithms, the system maintains real-time performance while accurately capturing nonlinear interference effects in low loss spans where traditional closed-form models fail.
2Device complexity
If traditional GN model methods are used, then computational simplicity is improved, but completeness of noise source consideration deteriorates
Solution Approach 1:
The patent segments the noise penalty calculation into distinct components: upstream noise penalties, coherent nonlinear interference, and incremental penalties. Each component is calculated and corrected separately using specific formulas, then combined to produce the total accurate penalty. This segmentation allows the system to maintain computational tractability while comprehensively accounting for all noise sources.
Solution Approach 2:
The patent implements feedback mechanisms where upstream noise penalties are identified and corrected in subsequent calculations. The system continuously refines the penalty estimates by incorporating information from previous stages, ensuring that coherent nonlinear interference and other noise sources are properly accounted for in the final SNR calculation.
3Productivity
If incremental noise penalties are calculated independently for each element, then calculation speed is improved, but accuracy of path SNR determination deteriorates
Solution Approach 1:
The patent performs preliminary calculations of incremental noise penalties for individual network elements in advance, storing these results for rapid retrieval. When determining path SNR, the system quickly combines these pre-computed incremental penalties using the correction formulas, achieving both speed through pre-calculation and accuracy through proper concatenation with upstream noise corrections.
Data Source
AI summary
A module for use in an optical network includes one or more elements concatenated to one another; and circuitry configured to receive and store calibration data associated with the one or more elements, and transmit the calibration data to one or more processing devices for modeling of the module in a link in the optical network. The one or more elements can include gain blocks for optical amplification. The calibration data can be determined at manufacturing via testing. The calibration data can relate to determining gain and noise transfer functions of the module at various operating points.