Wireless Network Event Visualization for Troubleshooting
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Solution Overview
Problem
Cellular network operators face challenges in efficiently troubleshooting wireless network issues due to extensive event listings and the need to navigate through vast amounts of data, often resulting in partial data loss and loss of continuity, making it difficult to quickly identify problem areas of interest.
Innovation Solution
A method and system that utilize a network monitoring system to summarize data packets into time-ordered events, categorize them, and generate interactive graphical representations with uniform event density, allowing for efficient analysis and diagnosis of network performance issues, enabling users to define user-defined categories and highlight areas of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If network operators navigate through extensive event listings to troubleshoot network issues, then they can access detailed event information, but the process becomes time-consuming and results in loss of continuity
Solution Approach 1:
The patent segments the extensive event listings into meaningful groups or categories based on troubleshooting criteria. Instead of presenting a continuous stream of events, the system divides events into manageable segments that can be quickly scanned and analyzed, reducing both time loss and information discontinuity.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and organizing event data into structured formats before presentation. Event listings are pre-grouped, filtered, and annotated with metadata that enables quick navigation to problem areas, eliminating the need for operators to manually sift through raw event streams.
2Productivity
If filtering methods are applied to search data and reach areas of interest, then navigation becomes more efficient, but partial data loss occurs
Solution Approach 1:
The patent applies partial filtering actions that are sufficient to highlight problem areas without completely excluding relevant data. Instead of aggressive filtering that loses data, the system uses selective highlighting and annotation techniques that maintain data completeness while improving navigation efficiency.
Solution Approach 2:
The patent introduces an intermediary layer between raw event data and the operator interface. This intermediary processing layer preserves all original data while adding contextual information, markers, and structured organization that enables efficient search without data loss.
3Stability of the object's composition
If event listings are presented in chronological order, then continuity of information is maintained, but operators cannot quickly reach specific problem areas
Solution Approach 1:
The patent adds another dimension to the chronological event listing by incorporating hierarchical organization and categorical grouping. Events are arranged chronologically within categories, allowing operators to navigate both by time sequence and by problem type, thus maintaining continuity while improving access to specific areas.
Solution Approach 2:
The patent replaces the mechanical scrolling through chronological lists with intelligent navigation mechanisms. The system automatically highlights problem areas, provides jump links to relevant sections, and uses visual indicators to guide operators to areas of interest while preserving the chronological context.
Data Source
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AI summary
A method for facilitating diagnosis of problems experienced in a wireless network includes receiving a plurality of time-ordered events occurring in the wireless network. Each of the plurality of events is associated with at least one subscriber and has one or more attributes. The received time-ordered events are grouped into a plurality of categories based on time and based on the event attributes. A plurality of records associated with the plurality of categories is generated. Each record uniquely characterizes a corresponding category and has a uniform event density. An interactive graphical representation of the plurality of records is rendered to a user via a graphical user interface (GUI).