Dynamic Sampling Rate Adaptation for VoIP Fault Diagnosis
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Solution Overview
Problem
Current diagnostic capabilities are inadequate for quickly identifying and resolving customer-reported faults in VoIP services, particularly those caused by DSL network issues such as impulse noise and radio frequency interference, as they primarily focus on mitigating effects rather than addressing underlying causes.
Innovation Solution
A method and apparatus for monitoring network connections by adapting the sampling rate in response to performance metrics, allowing for high-resolution sampling of DSL layer parameters during VoIP communications to determine if DSL layer performance issues are the cause of service degradation, using an adjustable threshold to minimize false positives and negatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous high-resolution sampling of network connection parameters is implemented, then measurement precision and diagnostic accuracy are improved, but device complexity and processing load increase
Solution Approach 1:
The patent implements dynamic sampling rate adaptation where the sampling frequency is adjusted based on detected network conditions. During normal operation, sampling occurs at a lower rate to reduce processing load. When performance degradation is detected (via MOS thresholds or packet loss indicators), the system automatically increases the sampling rate to capture detailed temporal patterns of DSL layer errors, thus achieving high measurement precision only when needed.
Solution Approach 2:
The system employs periodic sampling at variable intervals rather than continuous sampling. The sampling period is extended during stable network conditions and reduced when anomalies are detected. This periodic approach with adaptive timing maintains diagnostic capability while significantly reducing the average processing complexity compared to continuous high-resolution sampling.
2Measurement precision
If high-resolution sampling is used continuously, then diagnostic accuracy is improved, but energy consumption and processing resources increase
Solution Approach 1:
The sampling rate is dynamically adjusted based on network condition thresholds. When MOS values fall below a predetermined threshold or packet loss exceeds acceptable levels, the system transitions to high-resolution sampling mode, consuming more processing energy only when diagnostically necessary. During normal operation, lower sampling rates reduce energy consumption while maintaining adequate monitoring capability.
3Reliability
If sampling rate is increased to capture brief performance issues, then detection capability is improved, but false positives and negatives increase without proper threshold management
Solution Approach 1:
The system uses feedback loops where MOS measurements and packet loss data are continuously compared against predetermined thresholds. When thresholds are breached, this triggers increased sampling rate. The feedback mechanism ensures that high-resolution sampling is activated only when there is actual evidence of performance degradation, reducing false positives while maintaining high detection capability for genuine faults.
Solution Approach 2:
The patent changes the sampling rate parameter dynamically based on network condition parameters (MOS, packet loss). By adjusting the sampling frequency parameter in response to measured network quality parameters, the system optimizes both detection capability and diagnostic accuracy, avoiding the false positives that would result from fixed high-rate sampling during normal conditions.
4Device complexity
If low sampling rate is used to reduce processing load, then device complexity is reduced, but ability to detect brief performance issues is worsened
Solution Approach 1:
The system dynamically adjusts sampling rate based on detected network anomalies. During normal operation, low sampling rates reduce processing complexity. When performance degradation is detected through MOS thresholds or packet loss indicators, the system automatically increases sampling rate to capture brief error events, thus maintaining fault detection capability without permanently increasing processing complexity.
Data Source
AI summary
Methods and apparatus are disclosed for monitoring a network connection (13) at a first sampling rate to generate monitoring data for the network connection for determining a performance issue in the network. The method involves identifying a communication occurring via the network connection (13), wherein performance metrics are available for the communication; and responsive to a trigger in respect of the communication, adapting the sampling rate to a second sampling rate greater than the first sampling rate so as to determine whether a performance degradation in the communication is attributable to the network connection (13). The adapting of the sampling rate to a second sampling rate is triggered by comparison of one or more of the available performance metrics for the communication with an adjustable threshold.