Mobile Network Traffic Analysis for Non-Network Element Impact
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Solution Overview
Problem
Conventional mobile network analysis systems fail to assess the impact of non-network elements such as mobile device vendors, models, operating systems, and applications on subscriber experience and resource utilization, lacking the ability to leverage specific traffic data to evaluate these factors.
Innovation Solution
A computer-implemented method that receives and associates traffic data with non-network elements to determine their effects on subscriber experience, using metrics like voice quality, dropped calls, accessibility, and data transfer rates, and evaluates the impact of different communication procedures on network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional mobile network analysis systems are used, then network infrastructure can be analyzed, but non-network elements such as mobile devices, operating systems, and applications cannot be assessed
Solution Approach 1:
The patent introduces traffic data as an intermediary that bridges network infrastructure and non-network elements. By analyzing traffic data patterns, the system can indirectly assess mobile devices, operating systems, and applications without direct access to them, resolving the contradiction between analyzing network infrastructure and assessing non-network elements.
Solution Approach 2:
The patent replaces direct mechanical analysis of non-network elements with data-driven analysis. Instead of directly examining mobile devices or applications, the system uses traffic data patterns as substitutes to infer characteristics and performance of non-network elements, enabling assessment without direct access.
2Measurement precision
If conventional analysis systems are used, then network infrastructure performance can be evaluated, but the impact of communication procedures on subscriber experience cannot be determined
Solution Approach 1:
The patent implements feedback mechanisms by analyzing traffic data to determine the impact of communication procedures on subscriber experience. The system continuously monitors traffic patterns and correlates them with communication procedure usage, providing feedback on how different procedures affect service quality and resource utilization.
Solution Approach 2:
The patent substitutes direct measurement of subscriber experience with indirect measurement through traffic data analysis. By examining traffic patterns, message types, and communication behavior, the system infers subscriber experience metrics without direct user feedback or mechanical measurement.
3Reliability
If conventional systems are used, then network infrastructure can be troubleshooted, but sources of resource utilization problems from non-network elements cannot be identified
Solution Approach 1:
The patent segments the analysis into separate dimensions: network infrastructure analysis and non-network element analysis. By dividing the troubleshooting process into these segments and analyzing traffic data from both perspectives, the system can identify resource utilization problems and their sources without losing information about either network or non-network elements.
Solution Approach 2:
The patent uses traffic data as an intermediary that connects network infrastructure performance with non-network element characteristics. This intermediary enables the system to trace resource utilization problems back to their sources in mobile devices, applications, or operating systems while maintaining reliable troubleshooting of network infrastructure.
Data Source
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AI summary
Various methods, systems, and computer program products are disclosed for determining effects of non-network elements on a subscriber experience. For example, a method may include receiving traffic data. In some implementations of the invention, the method may include associating the traffic data with one or more non-network elements, which may operate on the mobile network but are not part of an infrastructure of the mobile network. The method may include determining a subscriber experience for the one or more non-network elements based on the traffic data that is associated with the one or more non-network elements.