Optical Network Spectrum Assignment via Contention Point Reduction
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Solution Overview
Problem
Conventional routing and spectral assignment (RMSA) techniques in optical networks face challenges with increasing complexity due to growing network sizes and complex ROADM equipment configurations, leading to computational inefficiencies and the inability to handle broken or orphaned topology, resulting in undeployable routing solutions.
Innovation Solution
A minimum representative constraint set approach is used to identify contention points in a hardware agnostic manner, applying spectral masks to reduce the number of contention points and associated spectral data, allowing existing RMSA processes to efficiently manage complex optical networks by minimizing the input data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional RMSA techniques are used to handle growing network sizes and complex ROADM equipment configurations, then complete network coverage and constraint consideration are improved, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent segments the optical network into discrete contention points where spectral constraints must be satisfied. By identifying and isolating these specific points (fibers, ROADM intra-node fibers, equipment internal fibers) from the overall network, the complex global constraint satisfaction problem is divided into localized sub-problems that can be processed independently and more efficiently
Solution Approach 2:
The patent extracts and removes broken or orphaned topology elements from the network graph before performing RMSA. This extraction eliminates problematic components that would otherwise complicate the computational process and lead to undeployable solutions, allowing the RMSA algorithm to operate only on valid, deployable network segments
2Measurement precision
If all contention points and spectral data are processed in conventional RMSA, then complete spectral assignment accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary identification and minimization of contention points before executing the full RMSA process. By pre-processing the network data to extract only the essential contention points and their associated spectral constraints, the system prepares a reduced dataset that maintains assignment accuracy while significantly decreasing the computational burden of the subsequent RMSA execution
Data Source
AI summary
Spectrum assignment in an optical network utilizing a minimum representative set of constraints and a topology agnostic approach includes receiving network data associated with an optical network; identifying, from the network data, contention points and associated services that cross each contention point of the contention points; identifying spectral data at each contention point of the contention points; reducing the contention points and their associated spectral data to a subset of contention points, wherein a total number of the subset of contention points is less than a total number of the contention points; and utilizing the subset of contention points and their associated spectral data for assigning spectrum in the optical network. Each contention point is a fiber in the optical network or represents a functional limitation of an optical device, where any service thereon requires non-overlapping spectrum from any other service thereon.