KPI Chart and Map Visualization for Wireless Network Issue Detection
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Solution Overview
Problem
Wireless telecommunication networks face challenges in efficiently tracking and optimizing performance metrics over time and location to identify and resolve issues, leading to suboptimal network performance and resource utilization.
Innovation Solution
A system for charting and mapping visualization of key performance indicators (KPIs) using graphical user interfaces (GUIs) that receive and display KPI data from various subsystems, allowing users to drill down for detailed insights and interactively view network elements, enabling rapid issue detection and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional network monitoring methods are used, then basic performance tracking is possible, but issue identification and resolution is delayed
Solution Approach 1:
The system segments network performance data into multiple dimensions including time-based metrics (historical, real-time, predicted) and location-based metrics (geographical, cellular, wireless LAN). This segmentation allows parallel processing and independent optimization of different performance aspects, enabling faster issue identification while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The patent introduces temporal dimension (historical, real-time, predicted performance) and spatial dimension (geographical, cellular, wireless LAN) to traditional network monitoring. This multi-dimensional approach enables simultaneous analysis of performance trends over time and location-based patterns, accelerating issue detection without sacrificing monitoring completeness.
2Loss of information
If detailed network data is collected and analyzed, then performance insights are improved, but system complexity increases
Solution Approach 1:
The system divides complex network data into segmented categories: time-based segments (historical, real-time, predicted) and location-based segments (geographical, cellular, wireless LAN). Each segment can be processed independently through dedicated algorithms, reducing overall system complexity while maintaining comprehensive performance insights through the structured organization of data.
3Speed
If real-time monitoring is implemented, then rapid issue detection is enabled, but resource utilization decreases
Solution Approach 1:
The system implements periodic monitoring cycles that alternate between real-time data collection and batch processing. Real-time monitoring operates at optimized intervals rather than continuously, balancing rapid issue detection with resource conservation. The periodic execution of monitoring tasks allows the system to maintain speed while reducing overall resource consumption through strategic timing of data collection operations.
Data Source
AI summary
Example embodiments are directed towards charting and mapping visualization of time and location data, such as, for example, that including or related to key performance indicator (KPIs) of a wireless telecommunication network. For example, in response to the system electronically receiving from a user an indication of a wireless network report type indicating one or more of a logical and a physical portion of a wireless services network, the system may determine a plurality of KPIs based on the indication (e.g., based on a selected report type and selected filter(s)). The system may then cause the plurality of determined KPIs to be displayed on a graphical user interface (GUI), including in interactive charts and maps containing objects which the user may select to drill-down and see more detailed data regarding the selected object based on the indicated report type and filter.