Receiver Error Pattern Measurement for Accurate Frame Loss Prediction
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Solution Overview
Problem
Existing methods for measuring receiver performance in digital networks, particularly in Ethernet systems, are inadequate as Bit Error Rate (BER) does not accurately predict Frame Loss Ratio (FLR) when errors are correlated, making it difficult to ensure end-to-end performance and compliance with error thresholds.
Innovation Solution
A receiver performance measurement system that utilizes error patterns, including FEC codewords, to determine a performance metric by calculating symbol errors, error thresholds, and probabilities, allowing for accurate prediction of FLR through Code Error Ratio (CER) and segment error budgets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If BER measurement is used to evaluate receiver performance, then individual component performance can be measured, but it cannot accurately predict end-to-end Frame Loss Ratio in packet-based systems
Solution Approach 1:
The patent changes the measurement parameter from Bit Error Rate (BER) to Frame Error Rate (FER) and introduces the concept of error patterns. By measuring the number of errors per frame rather than per bit, the system achieves accurate prediction of Frame Loss Ratio while maintaining applicability to both traditional and packet-based communication systems.
Solution Approach 2:
The patent segments the error measurement into frame-level analysis rather than bit-level analysis. By dividing the data stream into frames and counting errors within each frame, the system can accurately predict Frame Loss Ratio while maintaining compatibility with existing BER measurement infrastructure.
2Reliability
If CRC32 error detection is used in Ethernet systems, then frame integrity can be verified, but the exact number of bit errors within discarded frames remains unknown
Solution Approach 1:
The patent introduces an intermediary error counting mechanism that operates between the CRC check and frame discarding. This intermediary component counts the number of errors in each frame before the CRC decision is made, preserving error count information without compromising the reliability of CRC-based integrity verification.
3Ease of operation
If standard PRBS test patterns are used for BER evaluation, then measurement simplicity is maintained, but accurate FLR prediction in high-speed networks becomes difficult
Solution Approach 1:
The patent makes the PRBS test pattern generator multi-functional by enabling it to serve both traditional BER measurement and the new Frame Error Rate measurement. The same hardware generator produces test patterns, but the analysis is performed at the frame level rather than bit level, achieving accurate FLR prediction without sacrificing measurement simplicity.
Data Source
AI summary
Devices, networks, systems, methods, and processes for determining receiver performance metric of a network device are described herein. A device may utilize one or more error patterns associated with the network device to retrieve one or more symbol errors from the one or more error patterns. The device can determine an error threshold for a segment based on a predefined Bit Error Rate (BER) level for the segment. The device may generate a performance metric for the segment based on the error threshold and the retrieved symbol errors. The device can generate a receiver performance metric based on performance metrics of segments. The device may determine a Code Error Ratio (CER) and can predict a Frame Loss ratio (FLR) associated with the network device based on the CER.