Optical Network Parameter Estimation Using Virtual Signal Waveforms
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing optical network management systems face challenges in estimating the characteristics of optical networks with high power consumption due to the need for parameter estimation using components like 90-degree hybrid circuits and photodiodes, leading to increased power and manufacturing costs.
Innovation Solution
An optical network management device and method that utilize a collector, generator, and estimator to estimate optical network characteristics with reduced power consumption by using a simplified detection unit with fewer components, such as a single photodiode and analog-to-digital converter, and employing a mathematical model to update parameters until a threshold deviation is achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a simplified detection unit with fewer components is used, then power consumption and manufacturing costs are reduced, but measurement precision may deteriorate
Solution Approach 1:
The patent uses a simplified detection unit that captures intensity information as a copy or representation of the optical signal, rather than using complex coherent detection hardware. The system generates virtual signal light information through mathematical modeling that replicates the characteristics of the actual optical signal, enabling parameter estimation without requiring sophisticated detection components.
Solution Approach 2:
The patent replaces the mechanical/optical detection system (multiple photodiodes, 90-degree hybrid circuits) with a computational approach using mathematical models and algorithms. The estimation is performed through data processing and calculation rather than through complex optical measurement hardware, substituting physical detection mechanisms with computational methods.
2Ease of manufacture
If a simplified detection unit with fewer components is used, then manufacturing costs are reduced, but device complexity for achieving the same function increases
Solution Approach 1:
The patent replaces complex optical detection hardware with computational algorithms and mathematical models. The estimation function is achieved through software-based processing rather than hardware complexity, transferring the complexity from the physical detection layer to the data processing layer, which can be implemented more economically.
Solution Approach 2:
The patent introduces an optical network model as an intermediary between the simplified detection unit and the parameter estimation. This model acts as a computational bridge that translates the limited intensity measurements into comprehensive network characteristics, managing the complexity through structured mathematical relationships rather than hardware complexity.
3Device complexity
If intensity information only is used for parameter estimation, then device complexity is reduced, but loss of information occurs
Solution Approach 1:
The patent creates virtual copies of the optical signal through mathematical modeling. By generating virtual signal light information that replicates the characteristics of the actual optical signal based on intensity measurements and network models, the system recovers information that would otherwise be lost in simplified detection.
Solution Approach 2:
The optical network model serves as an intermediary that reconstructs and preserves signal information. It uses the limited intensity measurements as input and produces comprehensive signal characteristics as output, acting as an information bridge that prevents data loss despite the simplified detection approach.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively estimates optical network characteristics with reduced power consumption and manufacturing costs by using a simplified detection unit and mathematical modeling, thereby improving estimation accuracy and efficiency.
Implementation Method 1
an optical receiver, and includes a 90-degree hybrid circuit, a photodiode, a light source
Data Source
AI summary
An optical network management device includes a collector that collects first information representing a waveform of an intensity of first signal light that is transmitted from an optical transmitter based on input of an electrical data signal and is received by an optical receiver of an optical transmission device via an optical transmission line, a generator that generates second information representing a waveform of an intensity of virtual second signal light corresponding to the first signal light by calculating electric field information corresponding to the data signal based on the data signal and an optical network model representing a characteristic of an optical network including the optical transmitter, the optical transmission line, and the optical transmission device, and an estimator that estimates the characteristic of the optical network by calculating a parameter of the optical network model based on the first information and the second information.