OSNR-Sensing Spectrum Allocation for Optical Channel Performance
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Solution Overview
Problem
The traditional optical signal-to-noise ratio evaluation model is no longer accurate for a complete network topology, and the performance advantages of optical fibers with low loss and large effective area are not accurately reflected in point-to-point systems, making it challenging to optimize optical signal transmission in network environments.
Innovation Solution
A method and system for OSNR-sensing spectrum allocation that constructs an OSNR evaluation model considering amplified spontaneous emission noise, nonlinear interference, and filter narrowing effects, using a first-fit algorithm for spectrum allocation and evaluating OSNR quality through full-spectrum loading, margin reservation, and spectrum-dependent strategies to ensure optimal optical channel performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional optical signal-to-noise ratio evaluation model is used, then the model is simple, but the evaluation accuracy is insufficient for complete network topology
Solution Approach 1:
The patent segments the OSNR evaluation into multiple independent components: amplified spontaneous emission noise calculation, nonlinear interference calculation, and filter narrowing effect calculation. Each component is evaluated separately and then integrated to achieve comprehensive and accurate OSNR assessment for complete network topology.
Solution Approach 2:
The patent performs preliminary calculations of various noise and interference components before final OSNR determination. The system pre-calculates amplified spontaneous emission noise, nonlinear interference, and filter effects, then combines these results to evaluate the overall OSNR, enabling accurate prediction before actual signal transmission.
2Reliability
If optical fiber with low loss and large effective area is used, then the signal transmission quality improves, but the manufacturing cost increases
Solution Approach 1:
The patent changes the evaluation parameters to include effective area as a key factor in OSNR calculation. By incorporating effective area into the nonlinear interference calculation model, the system can evaluate and compare different optical fiber types (including those with large effective area) to determine their actual transmission performance benefits, guiding cost-effective fiber selection.
3Reliability
If spectrum resources are allocated without considering OSNR sensing, then the allocation speed is fast, but the optical channel performance cannot be guaranteed
Solution Approach 1:
The patent implements feedback by using calculated OSNR values to guide spectrum allocation decisions. The system continuously monitors OSNR performance and uses this feedback to adjust spectrum allocation, ensuring that allocated channels meet minimum performance thresholds while maintaining efficient resource utilization.
Solution Approach 2:
The patent performs preliminary OSNR evaluation before spectrum allocation to predict which channels will meet performance requirements. By pre-calculating OSNR for potential allocation scenarios, the system avoids trial-and-error allocation and directly assigns spectrum resources that guarantee optimal optical channel performance.
Data Source
AI summary
The present invention provides a method and system of OSNR-sensing spectrum allocation with optical channel performance guarantee. The method includes constructing an OSNR evaluation model; acquiring the shortest path between a source node and a destination node; acquiring a plurality of modulation formats and corresponding thresholds, sorting the plurality of modulation formats in descending order, and acquiring a list of the sorted modulation formats; calculating the bandwidth required by the lightpath service based on the bandwidth demand and FEC overhead by using the modulation format with the highest spectrum efficiency; substituting the bandwidth required by the lightpath service into the OSNR evaluation model and obtaining the number of FS actually required by the service; and allocating the spectrum resource required by the current service to the shortest path by using a first-fit algorithm and obtaining the center frequency of the current service on the lightpath.