Network Analyzer Calibration via Ranked Equalizer Presets
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Solution Overview
Problem
Network analyzer devices face challenges in calibrating bi-directional link traffic between endpoint devices, requiring tedious and time-consuming trial-and-error processes, often resulting in in-line interference and inability to retrieve usable data due to mismatched equalization presets.
Innovation Solution
A calibration platform that receives and ranks historical equalizer calibration information from various host and target devices, providing ranked calibration information to analyzer devices for quick and accurate calibration, reducing the need for manual selection and device reboots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual trial-and-error calibration process is used, then calibration can be performed, but calibration time is excessive and productivity is low
Solution Approach 1:
The system performs preliminary calibration actions by pre-calibrating multiple equalizer presets offline and storing them in a database. When calibration is needed, the pre-computed presets are directly applied without requiring real-time trial-and-error, thus resolving the contradiction between calibration accuracy and calibration speed.
Solution Approach 2:
The system prepares multiple equalizer calibration presets in advance and ranks them by quality metrics before they are needed. This beforehand preparation ensures that when calibration is required, the best presets are already available, eliminating the need for time-consuming real-time adjustments while maintaining high calibration accuracy.
2Measurement precision
If multiple equalizer presets are tested, then calibration accuracy improves, but processing resources are consumed and time is lost
Solution Approach 1:
The equalizer presets are pre-calibrated and evaluated offline before deployment. Their calibration quality is assessed and ranked in advance, so when actual calibration is needed, the system can directly apply the pre-evaluated presets without performing time-consuming tests, thus achieving high precision without time loss.
Solution Approach 2:
Instead of performing actual calibration tests on the target device, the system uses pre-computed calibration presets that are copies of successful calibration configurations. These presets are applied directly to achieve accurate calibration without repeating the time-consuming test processes.
3Device complexity
If equalization presets are mismatched, then device complexity is reduced, but in-line interference occurs and data retrieval fails
Solution Approach 1:
The system introduces an intermediary calibration platform that matches equalizer presets to specific device configurations. This intermediary service ensures that the correct presets are applied to the right devices, preventing mismatches and ensuring reliable data retrieval while keeping the actual device complexity low.
Solution Approach 2:
The system changes the parameter of preset selection from manual trial-and-error to automated selection based on device configuration parameters. By matching presets to device parameters (such as device type, link characteristics), the system ensures correct calibration without increasing device complexity, thereby maintaining data retrieval reliability.
Data Source
AI summary
A device receives network information from an analyzer device associated with a host device, a target device, and a link of a network, and compares the network information and historical equalizer calibration information to identify a set of equalizer calibration information. The historical equalizer calibration information is associated with multiple host devices, multiple target devices, and multiple links. The device ranks the set of equalizer calibration information, based on quality information associated with the historical equalizer calibration information, to generate a ranked set of equalizer calibration information. The device provides the ranked set of equalizer calibration information to the analyzer device to permit the analyzer device to identify selected equalizer calibration information of the ranked set of equalizer calibration information, and utilize the selected equalizer calibration information.