Automatic Tuning System for WiFi Rate vs Range Testing
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Solution Overview
Problem
Conventional WiFi Rate vs. Range (RvR) tests require extensive manual tuning, leading to prolonged testing times and reduced equipment utilization, as each coordinate point must be tested sequentially.
Innovation Solution
An automatic-tuning method and system that uses a processor-controlled attenuator to adjust path loss based on data rate and signal quality indices, updating reference values and confirming signal quality against a preset threshold to automate the tuning process, thereby enabling fully automated testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tuning is performed for each coordinate point sequentially, then testing accuracy can be maintained, but testing time increases significantly and equipment utilization decreases
Solution Approach 1:
The system performs self-tuning by automatically adjusting the attenuator based on signal quality indices and data rates without requiring manual intervention. The processor automatically determines path loss values and updates reference values, enabling the system to tune itself across multiple coordinate points efficiently
Solution Approach 2:
The system uses feedback from signal quality indices and data rates to automatically adjust the attenuator settings. The processor continuously monitors performance metrics and uses this feedback to optimize path loss compensation, creating a closed-loop control system that improves testing efficiency
2Measurement precision
If manual tuning is performed before testing, then testing accuracy can be ensured, but equipment utilization is reduced due to time consumption
Solution Approach 1:
The system performs self-tuning by automatically adjusting the attenuator based on signal quality indices and data rates without requiring manual intervention. The processor automatically determines path loss values and updates reference values, enabling the system to tune itself across multiple coordinate points efficiently
Solution Approach 2:
The automatic-tuning system enables continuous testing operation by eliminating manual tuning interruptions. The system can seamlessly transition between coordinate points without requiring manual reconfiguration, maintaining continuous productive operation of the testing equipment
3Reliability
If sequential testing is performed at each coordinate point, then comprehensive testing can be conducted, but overall testing time increases
Solution Approach 1:
The system performs preliminary automatic tuning at each coordinate point before actual testing begins. By pre-establishing the optimal attenuator settings and reference values through automated path loss calculation, the system prepares everything needed for comprehensive testing in advance, reducing overall testing time
Solution Approach 2:
The system dynamically changes parameters such as path loss values, signal quality reference values, and coordinate reference values automatically based on measured data rates and signal quality indices. This parameter adaptation allows comprehensive testing across different coordinate points without manual reconfiguration, maintaining testing reliability while reducing overall time
Data Source
AI summary
An automatic-tuning method and an automatic-tuning system are provided. The automatic-tuning method includes: obtaining a first data rate and a first signal quality index of an object located at a coordinate point; controlling an attenuator to change a total path loss according to the first data rate and the first signal quality index to obtain a second signal quality index and a second data rate; determining whether to update a signal quality reference value and a coordinate reference value according to the second signal quality index and the second data rate, if so, the signal quality reference value and the coordinate reference value are updated with the second signal quality index and the coordinate point; and confirming whether the signal quality reference value is less than or equal to a preset signal quality threshold to determine whether to output the signal quality reference value and the coordinate reference value.