SERDES Sampling Parameter Optimization for Network Diagnostics
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Solution Overview
Problem
As communication networks grow in size, speed, and complexity, diagnosing and resolving issues such as inefficient data transmission, incorrect routing, and excessive network traffic becomes increasingly difficult due to variations in network configurations and evolving topologies, necessitating effective and flexible diagnostic mechanisms.
Innovation Solution
The optimization of Serializer/Deserializer (SERDES) sampling parameters within a network diagnostic component to minimize error rates by selecting and recording error data across various sampling parameters, applying optimization solutions to determine the optimal settings for accurate signal reception, which can be done during manufacturing or in real-time operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network speed and bandwidth are increased to meet growing data transmission demands, then network capacity and performance are improved, but signal errors and diagnostic difficulty increase
Solution Approach 1:
The patent applies parameter changes by systematically varying SERDES sampling parameters (such as sampling clock phase, sampling position, and equalization settings) to find optimal values that minimize signal errors. The diagnostic component tests multiple parameter combinations and selects the set that achieves lowest error rates, thereby maintaining signal reliability despite increased network bandwidth and speed.
2Adaptability or versatility
If network complexity and topology variations increase to support diverse applications, then network versatility is improved, but diagnostic difficulty and issue resolution time increase
Solution Approach 1:
The diagnostic component performs self-service by automatically testing SERDES sampling parameters without requiring manual configuration or intervention. The system independently varies parameters, measures error rates, and determines optimal settings, thereby simplifying diagnostics despite increased network complexity and diversity of configurations.
3Measurement precision
If SERDES sampling parameters are optimized to reduce error rates, then signal reception accuracy is improved, but diagnostic process time and complexity increase
Solution Approach 1:
The patent applies preliminary action by performing SERDES parameter optimization during manufacturing or initial setup phases. The optimal parameters determined through systematic testing are stored and applied in advance, so that during normal operation the system uses pre-optimized settings without requiring time-consuming real-time parameter sweeping, thus reducing both error rates and operational diagnostic time.
Data Source
AI summary
One or more modules configured to cause a network diagnostic component to perform the following: an act of selecting first specific sampling parameters at which the SERDES is to receive network traffic; an act of determining a number of errors included in a signal output by the SERDES at the selected first specific sampling parameters; an act of repeating for a specified number of the remaining sampling parameters the acts of selecting specific sampling parameters and determining the number of errors in a signal output by the SERDES at the selected specific sampling parameter; an act of recording the number of errors for each selected specific sampling parameter in an output record, and an act of applying an optimization solution on the output record to thereby determine the specific sampling parameters that will cause the SERDES to output a signal with the lowest value of errors.