Optical Link Spectral Efficiency Optimization via Automated Channel Spacing
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Solution Overview
Problem
The manual configuration of optical links in optical networks is a complex, time-consuming process that requires maximizing spectral efficiency by optimizing line rates, bits per symbol, and channel spacing, often relying on laboratory predictions and Gaussian noise assumptions that may not hold in real-world conditions.
Innovation Solution
An automated method using a 3-channel probing approach with real-time Q-Margin optimization, which considers optical link impairments without prior analysis, and adjusts channel spacing and transmission parameters to maximize spectral efficiency without assuming Gaussian noise statistics, allowing for real-time field configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tuning of cards is performed to maximize spectral efficiency, then spectral efficiency is improved, but configuration time and complexity increase significantly
Solution Approach 1:
The optical network element automatically performs spectral efficiency optimization by self-configuring channel spacing and transmission parameters based on real-time performance monitoring, eliminating the need for manual operator intervention and laboratory predictions
Solution Approach 2:
The system continuously monitors optical link performance metrics and uses this feedback to automatically adjust channel spacing and transmission parameters, enabling dynamic optimization without manual intervention and reducing configuration time while maintaining high spectral efficiency
2Ease of manufacture
If manual configuration uses laboratory predictions and Gaussian noise assumptions, then configuration process is simplified, but accuracy deteriorates due to real-world conditions not matching assumptions
Solution Approach 1:
The patent replaces theoretical Gaussian noise models with actual optical spectrum analysis and real performance measurements, substituting mathematical assumptions with empirical data-driven approaches that accurately reflect real-world optical link conditions
Solution Approach 2:
The system dynamically adjusts channel spacing and transmission parameters based on real-time optical spectrum measurements rather than relying on fixed laboratory predictions, allowing adaptation to actual environmental conditions and improving measurement accuracy
3Productivity
If automated optimization is implemented, then configuration time is reduced, but system complexity increases
Solution Approach 1:
The optical network element incorporates automated spectral efficiency optimization capabilities directly into its own configuration process, performing self-diagnosis and self-optimization without requiring external complex optimization systems or manual intervention
Data Source
AI summary
A method of configuring an optical link with an optimized spectral efficiency and bit rate is provided. The method includes obtaining, by a controller of an optical network, a baseline configuration that includes a traffic mode that uses a predetermined channel spacing of a plurality of channels in a frequency spectrum. The plurality of channels are used for transmitting optical signals on an optical link in the optical network. The method further includes selecting three contiguous channels that include a center channel and two adjacent channels and while maintaining a performance parameter above or equal to a threshold value, moving the adjacent channels closer to the center channel and varying at least one transmission parameter, thereby reducing a spacing of the center channel. As such, a spectral frequency map is generated in which the channel spacing is reduced and an optical link is configured based on the spectral frequency map.