KPI Chart and Map Visualization for 5G Network Drill-Down
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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, particularly in 5G networks, which require advanced KPIs for enhanced capabilities.
Innovation Solution
A system for charting and mapping visualization of KPIs using graphical user interfaces (GUIs) that receive data from various subsystems, allowing users to select and drill down into detailed data for specific network elements, providing interactive charts and geographical maps for real-time performance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If detailed KPI tracking and performance analysis are implemented across multiple subsystems, then network performance optimization is improved, but system complexity increases
Solution Approach 1:
The system segments network performance tracking into distinct logical portions (core network, access network, radio network) and physical portions (network elements, nodes, components). Each segment can be independently monitored and analyzed through specialized KPIs, reducing the complexity of managing comprehensive network performance data while maintaining detailed tracking capabilities.
Solution Approach 2:
The patent introduces temporal and spatial dimensions to performance tracking by enabling analysis across multiple time periods and geographic locations. The system displays KPIs with time-based filtering and geographical mapping, transforming complex network data into dimensional visualizations that simplify identification of performance patterns and issues.
2Difficulty of detecting and measuring
If comprehensive KPI data collection from multiple subsystems is implemented, then problem identification capability is improved, but data processing complexity increases
Solution Approach 1:
The system extracts and isolates specific KPIs relevant to different network portions and problems. Users can select and filter specific KPIs based on the network element or issue being investigated, extracting only the necessary data for analysis rather than processing all available data, thereby reducing processing complexity while maintaining strong problem identification capability.
Solution Approach 2:
The patent introduces an intermediary visualization layer that processes and presents KPI data through charts and maps. This intermediary layer abstracts the complexity of raw data from multiple subsystems, transforming it into intuitive visual representations that simplify problem identification without requiring users to directly process complex data structures.
3Loss of time
If real-time performance monitoring across time and location is implemented, then network issue resolution speed is improved, but computational resources required increase
Solution Approach 1:
The system dynamically adjusts monitoring granularity and data collection based on user interactions and network conditions. Users can filter data by time periods and locations relevant to specific issues, enabling real-time analysis only where and when needed rather than continuously processing all network data, thereby reducing computational resource consumption while maintaining fast issue resolution capability.
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.