Bisection Search Algorithm for Optical Link Spectral Efficiency
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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, often relying on manual tuning and laboratory-based predictions, which are not always accurate and assume Gaussian noise statistics.
Innovation Solution
An automated method using a bisection searching algorithm that converts SNR-margin to Q-margin, allowing real-time optimization of channel spacing and bit rates without prior link analysis, considering actual impairments and noise statistics, and using a 3-channel probing approach to maximize spectral efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tuning and laboratory-based predictions are used to maximize spectral efficiency, then spectral efficiency can be optimized, but the configuration process becomes complex and time-consuming
Solution Approach 1:
The system performs self-configuration by automatically determining optimal spectral efficiency parameters through bisection searching algorithms. The optical link autonomously measures SNR-margin, converts it to Q-margin, and adjusts channel spacing and bit rates without manual intervention, eliminating the need for time-consuming manual tuning while maintaining optimized spectral efficiency.
Solution Approach 2:
The system performs preliminary measurements and calculations during the configuration phase by measuring SNR-margin and performing bisection searching to determine optimal parameters before actual data transmission begins. This preliminary optimization ensures that the link is fully configured with maximum spectral efficiency before operational use, reducing overall configuration time.
2Reliability
If manual tuning is performed to maximize spectral efficiency, then optimal parameters can be found, but the process requires complex step-by-step searching
Solution Approach 1:
The patent replaces manual mechanical tuning processes with automated electronic algorithms. The bisection searching algorithm automatically calculates optimal channel spacing and bit rates by converting SNR-margin to Q-margin and systematically adjusting parameters, eliminating the need for manual step-by-step searching and reducing configuration complexity while maintaining spectral efficiency optimization.
Solution Approach 2:
The system automatically changes key parameters (channel spacing, bit rates, modulation formats) based on measured SNR-margin values and bisection searching results. By dynamically adjusting these parameters through algorithmic optimization rather than manual tuning, the system reduces configuration complexity while achieving optimal spectral efficiency.
3Ease of manufacture
If laboratory-based predictions are used for configuration, then initial settings can be established, but accuracy is reduced due to assumptions about noise statistics
Solution Approach 1:
The system implements feedback by measuring the actual SNR-margin of the optical link and using this real measurement to guide the bisection searching algorithm. Instead of relying on laboratory predictions with noise statistics assumptions, the system continuously measures actual performance and adjusts parameters based on real-world conditions, significantly improving prediction accuracy while maintaining configuration ease.
Solution Approach 2:
The configuration process transitions from static laboratory predictions to dynamic real-time measurement and adjustment. The system adapts to actual link conditions by measuring SNR-margin and dynamically adjusting channel spacing and bit rates through bisection searching, improving accuracy by responding to actual rather than predicted conditions while keeping the process simple and automated.
Data Source
AI summary
Methods for configuring an optical link with an optimized spectral efficiency are provided. In these methods, a controller of an optical network obtains 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 is used for transmitting optical signals on an optical link in the optical network. The controller further converts the SNR-margin to a Q-margin threshold value associated with a Q-margin as a performance parameter and while maintaining the performance parameter with a predetermined range of the Q-margin threshold value, varies at least one transmission parameter to reduce channel spacing. The controller also generates a spectral frequency map in which the channel spacing is reduced with respect to the baseline configuration and configures, via an optical network element in the optical network, the optical link based on the spectral frequency map.