Link Transmission Quality Indicator Determination via Neural Network Modeling
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Solution Overview
Problem
Conventional methods for determining link transmission quality indicators provide only a simple value with low temporal resolution and lack additional information on how the quality value is determined, limiting the analysis of communication link quality.
Innovation Solution
A method and system that measure and store link transmission quality indicators, using a two-step approach to establish a model based on prestored recordings and related signals, allowing for the computation of a second link transmission quality indicator with higher temporal resolution and additional detail, potentially using regression methods or artificial intelligence like neural networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a measuring device provides a quality value for the transmission link, then the link quality can be monitored, but the temporal resolution is low and no additional information is provided
Solution Approach 1:
The patent stores multiple measured signals and their associated quality indicators in advance, creating a historical database that can be analyzed later to determine quality values at any desired temporal resolution without requiring real-time high-resolution measurements
Solution Approach 2:
The patent creates a model that copies the relationship between measured signals and quality indicators from the stored historical data, allowing the determination of quality indicators at any point in time based on the stored measurements rather than requiring continuous high-resolution measurements
2Adaptability or versatility
If conventional methods determine a quality indicator, then a simple quality value is provided, but the analysis is limited and lacks versatility
Solution Approach 1:
The patent creates a universal model that can determine quality indicators for any point in time based on stored historical measurements, making the system adaptable to different analysis needs and temporal resolutions without requiring different measurement systems
Solution Approach 2:
The patent introduces an intermediary model that mediates between the stored historical measurements and the quality indicator determination, allowing flexible analysis without directly complexifying the measurement process itself
Data Source
AI summary
An approach for determining link transmission quality identifiers is provided. For this purpose, a two-step approach is applied. In a first step, quality indicators are obtained from a black-box device and related signal are obtained and recorded. Based on the recorded data, a model can be established or a neural network can be trained. The generated model or the trained network may be used for determining further quality indicators at any arbitrary point in time.