Signal Quality Grading System for QAM Downstream Analysis
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Solution Overview
Problem
Conventional techniques for evaluating signal quality in communication networks provide only crude assessments, lacking the detail needed for field engineers to effectively improve signal quality, as they typically only indicate whether a signal is 'passing' or not, without providing sufficient granularity for appropriate action.
Innovation Solution
A computing system configured to receive and analyze signals, generating data streams based on metrics like modulation error ratio, bit error ratio, and power level, computing degradation scores, and assigning a grade using a letter grading scheme to indicate signal quality, enabling more detailed assessments and informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to evaluate signal quality, then the evaluation process is simple, but the assessment granularity is insufficient
Solution Approach 1:
The signal quality evaluation is segmented into multiple distinct metrics including modulation error ratio, bit error ratio, and power level. Each metric is measured and evaluated separately, then integrated to form a comprehensive quality assessment. This segmentation allows for granular analysis of different signal aspects without requiring an overly complex monolithic evaluation system.
Solution Approach 2:
The evaluation system is designed to be multi-functional by simultaneously measuring multiple signal quality metrics (modulation error ratio, bit error ratio, power level) and generating both detailed metric reports and an overall quality grade. This universal approach enables the same system to serve multiple evaluation purposes without requiring separate specialized devices for each metric.
2Loss of information
If multiple signal metrics are measured and analyzed, then the signal quality assessment becomes more detailed, but the processing complexity increases
Solution Approach 1:
Multiple signal quality metrics (modulation error ratio, bit error ratio, power level) are measured and then merged into a single comprehensive quality grade using a letter grading scheme. This combining approach preserves the complete information from all individual metrics while simplifying the final output to an easily interpretable overall assessment, reducing the cognitive load on engineers.
Solution Approach 2:
The system provides feedback in the form of both detailed metric values and an overall quality grade. This dual-feedback mechanism allows engineers to see both the specific metric performance and the aggregate quality assessment, enabling them to understand both the overall signal health and the specific areas needing attention without being overwhelmed by raw data.
Data Source
AI summary
Systems, methods, and non-transitory computer readable media are configured to receive a signal. One or more data streams associated with one or more metrics associated with the signal can be determined. The one or more data streams can be sampled to generate data samples. A grade associated with the signal can be generated based on the data samples. The grade can indicate quality of the signal.