Application-Aware Network Performance Measurement on User Equipment
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Solution Overview
Problem
Conventional methods of measuring network performance characteristics fail to account for the varying data usage patterns of different applications on a computing device, leading to misinterpretation of network quality and user satisfaction, as they do not distinguish between applications using the network.
Innovation Solution
A method that identifies the application responsible for data transmission or reception during a measurement period using historical data, associating the application's identity with the network performance characteristics, allowing for better context and accuracy in network performance assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network performance characteristics are measured without application context, then measurement simplicity is maintained, but measurement precision deteriorates due to inability to distinguish between different application usage patterns
Solution Approach 1:
The system performs preliminary identification of applications responsible for data transmission during measurement periods using historical data before final performance assessment. This allows the measurement system to pre-establish application context and associate it with network performance characteristics, improving measurement precision without requiring complex real-time application monitoring infrastructure.
2Measurement precision
If real-time application information is accessed to improve network performance analysis, then measurement precision improves, but device complexity and operational constraints increase
Solution Approach 1:
The system uses historical data to pre-identify applications responsible for data transmission during measurement periods. This approach allows the system to obtain application context information in advance rather than requiring complex real-time access mechanisms, thereby improving measurement precision while maintaining ease of operation by leveraging already-available historical records.
3Ease of operation
If application identification is performed using historical data, then ease of operation is improved by avoiding real-time access constraints, but measurement precision may deteriorate due to indirect application identification
Solution Approach 1:
The system employs feedback mechanisms where historical data about application usage patterns is continuously analyzed and fed back into the measurement process. This allows the system to refine its identification of applications responsible for data transmission during measurement periods, improving measurement precision through iterative feedback while maintaining ease of operation by utilizing already-collected historical information rather than requiring complex real-time access.
Data Source
AI summary
A method of operating a user equipment configured for use with a communications network is provided. The method comprises measuring a network performance characteristic associated with a measurement period, and identifying, using historical data, an application on the UE responsible for transmitting data to, and/or receiving data from, the communication network in the measurement period. The identity of the identified application is then associated with the network performance characteristic.