Data Quality Index for Wireless Connection Analysis
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Solution Overview
Problem
Current methods lack a single, universal index to accurately reflect data service quality over wireless connections, relying on individual metrics like download throughput, round trip time, and packet loss percentage, which do not adequately measure user experience.
Innovation Solution
A data quality index (DQI) is generated by combining throughput, weighted round trip time, and packet loss percentage, using a formula that considers user behavior and network conditions to provide a comprehensive quality measurement for wireless data connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple individual metrics (download throughput, round trip time, packet loss percentage) are used to measure data service quality, then measurement precision is improved, but device complexity increases due to the need to track and analyze multiple separate indicators
Solution Approach 1:
The patent combines multiple individual quality metrics (download throughput, round trip time, packet loss percentage) into a single composite Data Service Quality Index (DSQI). This merging approach maintains measurement precision by incorporating all relevant factors while simplifying the system by providing one unified index rather than requiring separate tracking and analysis of multiple indicators.
Solution Approach 2:
The DSQI functions as a composite indicator that integrates multiple underlying metrics with different weights and characteristics. Similar to composite materials combining different substances to achieve superior properties, the DSQI combines throughput, latency, and packet loss measurements to create a more comprehensive and accurate representation of data service quality than any single metric could provide alone.
2Device complexity
If a single universal index (DSQI) is created to reflect data service quality, then device complexity is reduced, but measurement precision may be compromised by losing individual metric details
Solution Approach 1:
The patent merges multiple metrics into a single DSQI index while preserving the contribution of each individual metric through weighted integration. This allows the system to maintain simplicity with one unified index while retaining measurement precision by ensuring that throughput, round trip time, and packet loss percentage all contribute meaningfully to the final index value.
Solution Approach 2:
The DSQI serves as a universal index that can reflect data service quality across different network conditions, user scenarios, and connection types. This multi-functional index replaces the need for multiple separate measurement systems while maintaining the ability to accurately represent quality variations through its composite nature and configurable weighting scheme.
3Measurement precision
If individual metrics like download throughput and packet loss percentage are measured separately, then measurement precision for each metric is maintained, but ease of operation deteriorates due to the difficulty of综合分析 multiple indicators
Solution Approach 1:
The patent combines separate metric measurements into a unified DSQI calculation that automatically integrates download throughput, round trip time, and packet loss percentage. This merging eliminates the operational complexity of manually analyzing multiple indicators while preserving measurement precision through systematic weighted computation, making quality assessment straightforward and efficient.
Data Source
AI summary
A method for determining a quality of a wireless data connection including receiving a thruput of the wireless data connection, a data round trip time, a number of clicks needed to receive a predetermined data value and a packet loss percentage. A determination of a data quality index value for the wireless data connection is made responsive to the thruput of the wireless data connection, the data round trip time, the number of clicks needed to receive the predetermined data value and the packet loss percentage. The data quality index value for the wireless data connection is then provided.