Spatial Data Integration for Mobile Network Optimization
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Solution Overview
Problem
The exponential rise in mobile data usage and increased complexity of devices connecting to mobile networks have made troubleshooting more difficult, with existing technical data often insufficient for solving real-world problems, highlighting the need for additional data sources to improve network performance.
Innovation Solution
A system that integrates radio access network (RAN) performance data with subscriber account data, using spatial correlation and visualization techniques to identify problem areas within the network's coverage, allowing for the identification of necessary improvements such as additional RF transmitters or base stations, and optimizing network performance by correlating geolocated subscriber account data with RAN performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing technical data is used for troubleshooting, then data collection is simple, but the data is insufficient for solving real-world problems
Solution Approach 1:
The patent merges RAN performance data with subscriber account data into a unified spatial data structure. The spatial data integration system combines these previously separate data sources, allowing comprehensive analysis that links network performance metrics with subscriber behavior and location information, thereby resolving the information insufficiency without requiring overly complex separate systems.
Solution Approach 2:
The spatial data integration system serves multiple functions: it stores RAN performance data, subscriber account data, and geolocation information; it enables spatial correlation analysis; and it supports various troubleshooting and optimization queries. This multi-functional system replaces multiple separate data collection and analysis systems.
2Measurement precision
If RAN performance data and subscriber account data are integrated spatially, then problem identification accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent introduces a spatial dimension to the data integration system. By organizing RAN performance data and subscriber account data with geolocation coordinates and creating spatial indexes, the system enables precise location-based correlation analysis. This spatial dimension allows accurate identification of problem areas by correlating network performance with subscriber locations and behaviors.
3Productivity
If additional data sources are combined, then network optimization effectiveness improves, but data storage and processing requirements increase
Solution Approach 1:
The patent segments the integrated data into distinct but related components: RAN performance data, subscriber account data, and geolocation data. Each segment can be independently managed, queried, and processed. The spatial data structure allows segmentation by geographic regions, enabling efficient processing of large datasets by dividing them into manageable spatial units.
Data Source
AI summary
A system and methods for maintaining or optimizing a mobile phone network by spatially correlating geolocated radio access network (RAN) performance measurement data and geolocated subscriber account data, which in embodiments provides additional technical information on the RAN performance. These data are integrated in a spatial data structure and provided with a spatial querying and data correlation system for identifying, and addressing problem areas of the RAN.