False Answer Supervision Detection in Telecommunications
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Solution Overview
Problem
False answer supervision in telecommunications leads to customers being overbilled or billed for incomplete calls, caused by network malfunctions, equipment issues, and fraudulent activities, making it difficult for system operators to detect and address proactively.
Innovation Solution
A proactive detection method using a false answer supervision detector that analyzes the ratio of completed calls of short duration to hangups and the distribution of differences between alert and connect signal timestamps to identify false answer supervision, allowing for real-time adjustments in routing and vendor selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional reactive detection methods are used, then system operators can identify false answer supervision through customer complaints, but detection accuracy is low and response time is delayed
Solution Approach 1:
The system performs preliminary analysis of call data by calculating the ratio of completed calls of short duration to hangups, and analyzing the distribution of differences between alert and connect signal timestamps. This preliminary action enables proactive detection of false answer supervision patterns before customer complaints arise, improving both detection accuracy and response time.
Solution Approach 2:
The system continuously monitors call data and provides feedback through automated alerts when false answer supervision is detected. This feedback mechanism allows system operators to take immediate corrective actions such as adjusting routing or switching vendors, thereby improving detection accuracy and reducing the time to resolve billing issues.
2Reliability
If proactive detection methods are implemented, then detection accuracy and responsiveness improve, but device complexity increases
Solution Approach 1:
The false answer supervision detector is designed to perform multiple functions: calculating call duration ratios, analyzing signal timestamp distributions, generating alerts, and providing routing recommendations. This multi-functionality reduces the need for separate systems for each detection and response task, thereby improving reliability without proportionally increasing complexity.
Solution Approach 2:
The system automatically detects false answer supervision patterns and generates alerts without requiring manual intervention. This self-service capability improves detection responsiveness while minimizing the operational complexity associated with manual monitoring and analysis processes.
3Extent of automation
If manual review of customer complaints is used, then operational resources are consumed for reactive resolution, but automation level remains low
Solution Approach 1:
The false answer supervision detector automatically monitors call data, identifies patterns indicating false answer supervision, and generates alerts without human intervention. This automation eliminates the need for manual review of customer complaints, significantly reducing operational resource consumption while improving the extent of automation in the detection process.
Solution Approach 2:
The system provides automated feedback through alerts and notifications when false answer supervision is detected, enabling system operators to take corrective actions without manual investigation. This feedback loop automates the detection and response process, reducing operational resource requirements while increasing the extent of automation.
Data Source
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AI summary
A method and corresponding apparatus are provided to detect false answer supervision by determining false answer supervision as either as a function of a number of completed calls of short duration or as a function of a distribution of differences between timestamps of alert signals and timestamps of connect signals used to complete calls, detecting false answer supervision based on the indicator of false answer supervision determined by either functions separately or in combination, and affecting a decision in response to the detecting.