Wireless Endpoint Speed Measurement for Service Metric Segmentation
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Solution Overview
Problem
Current wireless network systems lack an accurate and efficient method to distinguish between the service metrics of indoor and outdoor users, as they combine metrics across all user types without differentiation.
Innovation Solution
A method and system that measure the speed of wireless endpoint devices during calls to categorize users as mobile or stationary, thereby separating call performance data into aggregate metrics for indoor and outdoor users, using a predefined speed threshold to differentiate between mobile and stationary call sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If service metrics are combined across all user types, then the complexity of metric collection is reduced, but the precision of user experience differentiation deteriorates
Solution Approach 1:
The patent segments service metrics into distinct categories based on user mobility status (mobile vs. stationary). By dividing the aggregate metric collection into separate streams, the system maintains low complexity while achieving precise user experience differentiation. The segmentation is implemented through separate metric collection pathways that process mobile and stationary user data independently, allowing accurate differentiation without requiring complex integrated analysis systems.
2Measurement precision
If speed measurement and user categorization is implemented, then the accuracy of indoor/outdoor user distinction is improved, but the system complexity increases
Solution Approach 1:
The patent introduces speed threshold as an intermediary parameter that mediates between raw speed measurements and user categorization decisions. This intermediary layer simplifies the system by providing a clear, single-threshold-based decision rule rather than requiring complex multi-parameter analysis. The speed threshold acts as a mediator that translates continuous speed data into discrete mobile/stationary categories, improving distinction accuracy while maintaining system simplicity through this intermediate abstraction layer.
3Adaptability or versatility
If separate aggregate metrics are maintained for mobile and stationary users, then the usefulness of service metrics is improved, but the complexity of metric management increases
Solution Approach 1:
The patent implements segmentation of metric management into distinct aggregate metric structures for mobile and stationary users. This segmentation allows the system to maintain separate, optimized metric collections for each user type, improving the adaptability and versatility of service metrics for different network design scenarios. The segmented approach enables targeted analysis and optimization for indoor versus outdoor users while keeping management complexity manageable through clear separation of metric streams.
Data Source
AI summary
A method and system for determining service metrics in a communications network are disclosed. The method measures a speed of a wireless endpoint device in a call, and collects call performance data. The method deems the call as being associated with a user who is mobile if the speed of the wireless endpoint device exceeds a speed threshold at any time during the call, or as being associated with a user who is stationary if the speed of the wireless endpoint device does not exceed or is equal to the speed threshold over a call duration. The method adds the call performance data to an aggregate service metrics for mobile users if the call is deemed as being associated with a user who is mobile, or to an aggregate service metrics for stationary users if the call is deemed as being associated with a user who is stationary.