FEC Lane Monitoring Using Partial Syndrome Combination
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Solution Overview
Problem
Existing communication systems face challenges in efficiently monitoring error rates in network segments with FEC encoding, as intermediate components lack the capability to isolate error sources, leading to difficulty in identifying problematic segments and increasing power consumption and complexity.
Innovation Solution
Implementing a receiver with trigger circuitry that selects a subset of encoded data blocks for partial syndrome calculations, which are combined to form full syndromes, allowing for efficient error rate determination with lower power consumption and faster processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full syndrome calculations are performed on all encoded data blocks to monitor error rates, then measurement precision is improved, but use of energy and device complexity increase significantly
Solution Approach 1:
The patent divides the full syndrome calculation process into multiple partial syndrome calculations performed on different subsets of encoded data blocks. Each chip or network device calculates partial syndromes on its local data blocks, then these partial results are combined to form the complete error rate measurement. This segmentation allows distributed processing that reduces the computational burden and power consumption at any single location while maintaining overall measurement accuracy.
Solution Approach 2:
Instead of performing complete syndrome calculations on all encoded data blocks, the patent applies partial syndrome calculations on selected subsets of data blocks. The trigger circuitry selectively enables partial syndrome calculation for specific data blocks based on predetermined criteria, performing only the necessary portion of the calculation needed to achieve adequate error rate monitoring without the full computational overhead.
2Measurement precision
If full syndrome calculations are performed on all encoded data blocks, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system architecture is segmented into multiple independent chips or network devices, each performing simplified partial syndrome calculations on local data blocks. The trigger circuitry and syndrome combination logic are distributed across these segments rather than concentrated in a single complex unit, reducing the complexity burden on any individual component while achieving the same overall measurement precision through coordinated partial results.
3Reliability
If intermediate components perform full FEC decoding to isolate error sources, then reliability of error source identification is improved, but device complexity and processing time increase
Solution Approach 1:
The error source identification function is segmented and distributed across multiple intermediate components or chips. Each component performs partial syndrome calculations on its local encoded data blocks and can independently identify errors within its segment. The trigger circuitry coordinates these distributed error identifications, allowing parallel processing that maintains reliable error source identification while significantly reducing total processing time compared to sequential full FEC decoding.
4Use of energy by moving object
If partial syndrome calculations are used instead of full syndrome calculations, then power consumption is reduced, but measurement precision may deteriorate
Solution Approach 1:
Multiple partial syndrome calculation results from different data blocks and different chips are combined using the syndrome combiner logic to form a comprehensive error rate measurement. This merging of partial results reconstructs the information that would be obtained from full syndrome calculations, maintaining measurement precision while achieving the power consumption benefits of partial calculations on each individual chip.
Data Source
AI summary
The present invention relates to data communication systems and methods thereof. In a specific embodiment, a receiver includes a trigger circuitry that selects a subset of encoded data blocks to measure the performance of a communication lane. Partial syndromes—based on these partial data blocks—are used in partial syndrome calculations, and they are later combined to form full syndromes. A decoder is configured to decode the full syndromes. There are other embodiments as well.