Call Data Analysis System for Consolidated Diagnostics
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Solution Overview
Problem
Diagnosing call issues in communication systems is challenging due to the lack of consolidated diagnostic information from multiple network elements, with limited access to signalling and media data, making it difficult to analyze call setup and tear-down processes effectively.
Innovation Solution
A method and system for correlating diagnostic data messages from media gateways, using timestamp and identifier information to pair trails and determine confidence values, allowing for the output of primary and secondary trails that match search parameters, thereby providing comprehensive diagnostic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If diagnostic data is collected from multiple network elements, then diagnostic completeness is improved, but system complexity increases
Solution Approach 1:
The patent combines diagnostic data from multiple network elements (Media Gateways, Media Gateway Controllers, Signalling Transfer Points) into a unified diagnostic view. The analysis server consolidates signalling data, media data, and configuration data into comprehensive trails that provide end-to-end call diagnostics, resolving the contradiction by merging distributed data sources into a cohesive diagnostic system.
Solution Approach 2:
The analysis server acts as an intermediary that collects, correlates, and analyzes diagnostic data from various network elements. It receives data from multiple sources, processes it through trail correlation algorithms, and presents consolidated diagnostic information, thereby managing the complexity of multi-element data collection while maintaining diagnostic completeness.
2Measurement precision
If consolidated diagnostic information is provided, then diagnostic capability is improved, but data processing complexity increases
Solution Approach 1:
The patent segments diagnostic data into distinct trails (signalling trails, media trails, configuration trails) that can be independently processed and then correlated. Each trail type handles specific data categories, allowing the system to manage complex data processing through structured segmentation while maintaining comprehensive diagnostic capability.
Solution Approach 2:
The system transforms raw diagnostic data into standardized trail structures with consistent parameters (timestamps, identifiers, event types). By changing the parameter representation of diagnostic data into a unified trail format, the system simplifies processing complexity while enhancing diagnostic precision through standardized data structures.
3Reliability
If trail correlation with confidence values is implemented, then diagnostic accuracy is improved, but computational requirements increase
Solution Approach 1:
The patent implements partial correlation by establishing trails and calculating confidence values only for relevant trail pairs that share common identifiers or time windows. Rather than computing all possible correlations, the system performs selective correlation on pertinent data subsets, improving diagnostic accuracy while reducing unnecessary computational overhead.
Data Source
AI summary
The present invention provides a method and apparatus for collecting diagnostic messages and collating them into correlated groups to be matched to specific calls, to identify and diagnose issues with those calls.