Voicemail Rate Monitoring for Wireless Network Failure Detection
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Solution Overview
Problem
Conventional systems face challenges in detecting and correcting wireless telecommunications network failures, particularly in identifying causes and providing up-to-date information, often relying on user inquiries or call initiation failures, which can be laborious and outdated.
Innovation Solution
A method and system that determine the rate of communications terminating to voicemail due to network failures, exceeding a threshold value, and perform actions such as alerting or recommending mitigation steps, using data from charging records and network analysis to identify and correct network issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems rely on user inquiries or call initiation failures to detect network issues, then detection can be performed with simple methods, but the detection is laborious and outdated
Solution Approach 1:
The system performs preliminary analysis of communication data to identify potential network failures before they manifest as user complaints or call failures. By continuously monitoring communication patterns and predicting potential issues, the system detects problems proactively rather than reactively, reducing both detection time and labor requirements
Solution Approach 2:
The system introduces an intermediary automated analysis layer between raw communication data and network failure detection. This intermediary layer processes charging records and communication data to generate predictive insights, eliminating the need for manual user inquiries while improving detection reliability and speed
2Measurement precision
If the system monitors all communications to identify network failures, then detection accuracy improves, but data processing complexity increases
Solution Approach 1:
The system extracts only the critical features and patterns from communication data that are relevant to network failure detection. By focusing on specific indicators such as communication patterns, charging record anomalies, and predicted failure signals, the system maintains high measurement precision while reducing overall data processing complexity
Solution Approach 2:
The system transforms raw communication data into meaningful parameters and metrics that indicate network health. By changing the representation of data from raw volumes to processed indicators such as failure rates, communication patterns, and predictive scores, the system achieves accurate measurement without proportionally increasing processing complexity
Data Source
AI summary
Methods and systems for determining and correcting network failures in a wireless telecommunications network. The methods can include determining a rate of communications terminating to voicemail due to one or more network failures. The methods can also include determining if the rate of communications terminating to voicemail due to one or more network failures exceeds a threshold value. When the threshold is exceeded, an action can be performed. The action can include one or more of communicating an alert, providing a graphical representation of at least the rate of communications terminating to voicemail due to one or more network failures, or performing or recommending one or more mitigation steps.