Probability-Based Regenerator Site Analysis in Optical Networks
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Solution Overview
Problem
In dynamic optical networks, selecting optimal regenerator sites to mitigate signal attenuation and distortion is challenging due to variable data traffic conditions and the high cost of installing regenerators at every node.
Innovation Solution
A computer-readable storage medium with instructions to generate a simulated optical network model, apply various data traffic conditions, and statistically analyze regenerator candidate sites to determine their selection probability, providing a ranking of sites for regenerator placement based on standard deviation-weighted probability expectation (SDPE) values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regenerators are installed at every node in the optical network, then signal quality and reliability are improved, but installation cost and system complexity increase significantly
Solution Approach 1:
The patent applies local quality by selectively placing regenerators only at specific nodes where they are most needed, rather than uniformly at all nodes. The system evaluates each node's characteristics and traffic patterns to determine optimal regenerator placement, ensuring signal quality is maintained at critical locations while avoiding unnecessary complexity at other nodes.
Solution Approach 2:
The patent implements partial action by installing regenerators at only a subset of nodes rather than all nodes. The system determines the minimum necessary number and locations of regenerators to maintain acceptable signal quality, thereby reducing overall system complexity and cost while still providing adequate coverage for the optical network.
2Reliability
If regenerators are installed at every node, then signal attenuation and distortion are compensated, but installation and operational costs increase
Solution Approach 1:
The patent applies local quality by identifying specific nodes with poor signal characteristics or high traffic demands that would benefit most from regenerator installation. The system analyzes node-by-node signal quality metrics and places regenerators only where they provide the most cost-effective improvement, rather than uniformly across the entire network.
Solution Approach 2:
The patent implements partial action by determining the optimal subset of nodes for regenerator placement based on cost-benefit analysis. The system calculates the marginal benefit of adding each potential regenerator and selects only those that provide sufficient improvement to justify their cost, thereby minimizing total installation and operational expenses.
3Ease of manufacture
If regenerator sites are determined based on pre-planned static demands, then planning simplicity is maintained, but adaptability to dynamic traffic conditions deteriorates
Solution Approach 1:
The patent applies dynamics by implementing a system that continuously monitors actual traffic conditions and signal quality metrics, then dynamically adjusts regenerator placement decisions. The system can add or remove regenerators from the planned set based on real-time network conditions, allowing it to adapt to changing traffic patterns while maintaining a structured planning framework.
Solution Approach 2:
The patent implements feedback by using actual network performance data and traffic measurements to validate and adjust the pre-planned regenerator configuration. The system compares expected versus actual signal quality and traffic loads, then uses this feedback information to refine future regenerator placement decisions, improving adaptability while maintaining planning discipline.
4Adaptability or versatility
If dynamic optical networks with distributed controls are implemented, then responsiveness to variable data traffic is improved, but difficulty in selecting regenerator sites increases
Solution Approach 1:
The patent applies feedback by implementing a centralized or semi-centralized analysis system that collects traffic and performance data from the distributed dynamic network, then processes this information to determine optimal regenerator sites. The feedback loop allows the system to leverage the network's dynamic responsiveness while using structured analysis methods to manage the complexity of site selection.
Solution Approach 2:
The patent introduces an intermediary analysis system that acts as a mediator between the dynamic distributed network control and the regenerator site selection process. This intermediary layer aggregates data from multiple sources, applies selection criteria, and produces coordinated regenerator placement recommendations, thereby simplifying the overall decision-making process while maintaining compatibility with dynamic network operations.
Data Source
AI summary
An optical network analysis tool includes a computer-readable storage medium having computer-readable instructions stored thereon. The computer-readable instructions are executable by a computing device to perform operations. The operations include generating a simulated network that models an optical network. The simulated network includes regenerator candidate sites. The operations may also include conducting an analysis of the optical network. The analysis includes introducing a multiple signals transmitted between source/destination pairs and recording a number of times each of the regenerator candidate sites are selected as a regenerator site while applying each of a set of data traffic conditions in the simulated network. The operations may also include statistically analyzing the number of times each of the regenerator candidate sites is selected to generate statistically analyzed information and presenting the statistically analyzed information.