Wireless Network Performance Ranking via Distributed Measurement
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Solution Overview
Problem
Conventional methods for determining wireless network performance are inadequate as they do not accurately represent overall network performance, fail to account for user preferences, and may include unreliable data due to interference or device issues, and do not differentiate between various service types.
Innovation Solution
A system and method that utilize a controller device and measurement devices to perform network tests, gather measurement data, and determine rankings based on user preferences and survey results, verifying data accuracy to provide a comprehensive assessment of network performance across different service types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to determine network performance, then the evaluation process is simple, but the accuracy of network performance measurement is poor
Solution Approach 1:
The evaluation system is segmented into multiple independent measurement devices distributed across different locations. Each device independently measures network performance metrics, and the results are aggregated to provide a comprehensive assessment. This segmentation enables accurate measurement while distributing the complexity across multiple simple nodes rather than requiring a single complex system.
Solution Approach 2:
The measurement devices are designed with universal functionality to perform multiple network performance tests (speed, reliability, coverage) across different service types. This multi-functionality allows a single device type to contribute to comprehensive network evaluation without requiring specialized equipment for each metric, thereby improving accuracy without proportionally increasing complexity.
2Reliability
If conventional measurement methods are used, then the measurement process is fast, but the data reliability is poor due to interference and device issues
Solution Approach 1:
Each measurement device is configured to perform tests under specific local conditions (different locations, service types, user scenarios). The system acknowledges that network performance varies by location and context, so each measurement is tailored to its specific local conditions. This approach improves reliability by ensuring measurements reflect actual user experiences while accepting that total measurement time increases due to the comprehensive nature of the tests.
Solution Approach 2:
The system incorporates feedback mechanisms where measurement results are used to verify data accuracy and identify unreliable measurements. The controller device analyzes results from multiple devices and can determine when measurements should be repeated or discarded based on consistency checks. This feedback loop improves data reliability while adding time for verification and validation processes.
3Adaptability or versatility
If conventional methods are used, then the evaluation is straightforward, but it fails to account for user preferences and service type differences
Solution Approach 1:
The evaluation methodology is made dynamic by allowing configuration of measurements based on user preferences and service types. The system can adapt test parameters, metrics, and weighting based on the specific user scenario being evaluated. This dynamic approach enables the system to account for user preferences without requiring a completely complex rigid system, as the complexity is managed through configurable parameters rather than fixed complex architecture.
Data Source
AI summary
Aspects described herein relate to various methods, systems and apparatuses that may improve methods of determining network performance. One or more aspects relate to performing one or more network tests based on a controller device and one or more measurement devices. The controller device may be configured to determine one or more network tests and initiate performance of the one or more network tests. The one or more measurement devices may be configured to perform the one or more network tests. One or more additional aspects may relate to determining one or more rankings of wireless networks. A ranking may be determined based on measurement data that is associated with aspects of network performance, based on results of one or more surveys, based on one or more user types, and/or based on weights that adjust the importance of factors including the measurement data and the results of a survey.