Signal Degradation Detection Using Linear Regression
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Solution Overview
Problem
Current methods fail to effectively identify and address signal degradation at receivers in a timely manner, distinguishing between temporary outages and persistent issues, which affects customer satisfaction in broadcasting and internet services.
Innovation Solution
A method and system that determine a time series of signal strength measurements, apply linear regression to predict future signal quality, and flag receivers for maintenance based on a figure of merit, using a test quantity module, a figure of merit module, and a prediction module to identify receivers with unacceptable signal strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal strength measurements are collected and analyzed over long periods, then temporary outages can be filtered out, but the response time to customers' service problems increases
Solution Approach 1:
The system performs preliminary analysis by collecting signal strength measurements over a predetermined period and establishing baseline patterns before actual degradation occurs. This preliminary action allows the system to quickly identify and respond to genuine degradation events without waiting for extended monitoring periods, thus reducing response time while maintaining reliability.
Solution Approach 2:
The system implements continuous feedback by monitoring signal strength measurements in real-time and comparing them against established patterns from the preliminary period. When deviations indicate persistent degradation rather than temporary outages, the system immediately triggers notifications and maintenance workflows, enabling timely response while filtering out transient issues through pattern recognition.
2Loss of time
If signal strength measurements are collected frequently, then timely detection of degradation is achieved, but the complexity of data collection and processing increases
Solution Approach 1:
The system applies partial monitoring by collecting signal strength measurements at strategically selected time points rather than continuously. By using a predetermined period for baseline establishment and then monitoring for specific degradation patterns, the system achieves timely detection without the excessive complexity of continuous high-frequency data collection and processing.
3Reliability
If maintenance is performed on all receivers with low signal strength, then customer satisfaction improves, but unnecessary maintenance calls increase for temporary outages
Solution Approach 1:
The system uses feedback from pattern recognition to distinguish between temporary outages and persistent degradation. By comparing current signal measurements against established patterns from the preliminary monitoring period, the system provides feedback that identifies genuine maintenance needs, thereby improving customer service quality while avoiding unnecessary maintenance calls for transient issues.
Solution Approach 2:
The system enables self-service by automatically analyzing signal strength patterns and identifying receivers that require maintenance. This automated classification reduces the need for human intervention in determining which receivers need service, improving resource efficiency by directing maintenance efforts only to receivers with persistent degradation patterns rather than all receivers with temporarily low signal strength.
Data Source
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AI summary
Implementations are directed to predicting signal degradation at receivers used to display a programming service. The receivers capture signal strength data that is then transmitted to a processing location, which may be associated with a provider of the programming service. A signal degradation detector at the provider operates to predict whether or not a future unacceptable signal quality will occur within a time interval. The prediction may be based on a test quantity calculated from signals captured at the receiver and based on a figure of merit for the geographic locale in which the receiver is located. A maintenance call may be initiated for those receivers that have such a poor signal quality