Dispersion Analysis for 5G User Mobility Analytics
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Solution Overview
Problem
Current 5G network management lacks effective tools to analyze individual user mobility and usage patterns, leading to inefficiencies in resource allocation and troubleshooting, especially in understanding customized edge resource allocation and data-centric deployments.
Innovation Solution
The implementation of dispersion analysis and dispersion indices to measure and analyze user equipment (UE) mobility, capturing how UEs interact with the network, and using these insights to automate network management through artificial intelligence and machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional network management tools are used, then infrastructure planning and management can be performed, but individual user mobility patterns and usage behaviors cannot be effectively analyzed
Solution Approach 1:
The patent segments user mobility analysis into discrete dispersion indices (data dispersion, transaction dispersion, failure dispersion, dropped session dispersion, voice call dispersion) that can be measured and analyzed independently. Each index captures a specific aspect of user behavior, enabling precise measurement of individual mobility patterns while maintaining manageable data processing through structured segmentation of the analysis framework.
2Adaptability or versatility
If detailed user mobility data is collected, then customized edge resource allocation can be improved, but network complexity and data processing requirements increase
Solution Approach 1:
The patent transforms complex user mobility data into simplified dispersion index parameters that quantify specific behavioral aspects. By changing the representation from raw detailed data to standardized dispersion metrics (data dispersion index, transaction dispersion index, etc.), the system achieves adaptable edge resource allocation while maintaining manageable network complexity through parameter standardization.
3Reliability
If comprehensive UE interaction measurements are implemented, then troubleshooting capability is enhanced, but measurement and detection difficulty increases
Solution Approach 1:
The patent extracts specific troubleshooting-relevant information from comprehensive UE interaction measurements by calculating dispersion indices that highlight anomalies and patterns. Instead of analyzing all raw interaction data, the system extracts key dispersion metrics (failure dispersion, dropped session dispersion, etc.) that directly indicate troubleshooting needs, reducing detection difficulty while maintaining high troubleshooting accuracy.
Data Source
AI summary
The disclosed technology teaches dispersion analysis of individual UE devices, measuring the span of cellular locations in a 5G network over which the bulk of a user's data, voice minutes and text messaging usage take place. Dispersion analysis also measures the span of cellular locations over which the bulk of a user's transactions and failed transactions take place, providing insights into camping behavior on specific cellular locations and hot spot formation. The technology disclosed includes new collection and filtering of location data to pinpoint cellular communication challenges encountered by users as well as system improvement and remediation opportunities. Additionally, this technology enables reporting of the detected behavior and related hot spots formation analysis with identifiers of UE mobile devices involved. The technology also applies to 3G 4G and future mobile networks and can be utilized for a group of UE devices selected for analysis, by device, geography, or affinity.