Memory EOM Error Counting Excluding Non-Data Symbols
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Solution Overview
Problem
Eye Open Monitor (EOM) results in memory systems are unreliable due to the inclusion of non-data symbols, which do not accurately reflect channel characteristics, leading to degraded reliability in signal transmission and reception between memory devices and host devices.
Innovation Solution
A method is introduced where error counting during EOM operations in memory devices excludes errors from non-data symbols, focusing only on errors related to data symbols, and transmitting an error count based on data symbols to improve the reliability of EOM results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If error counting includes all symbols (data symbols and non-data symbols) during EOM operation, then the measurement covers the entire signal, but the reliability of EOM results is degraded because non-data symbols do not reflect actual channel characteristics
Solution Approach 1:
The patent segments the symbol stream into data symbols and non-data symbols, and applies different error counting treatments to each segment. Error counting is performed only on data symbols (information symbols and pattern symbols) while excluding non-data symbols (control symbols and filler symbols), thereby achieving accurate channel characteristic measurement without contamination from non-representative symbols
Solution Approach 2:
The patent extracts and excludes non-data symbols from the error counting process. By identifying and removing control symbols and filler symbols from the calculation, the EOM measurement reflects only the actual data transmission channel characteristics, improving result reliability
2Ease of operation
If EOM operation processes all received symbols, then the operation is simple and comprehensive, but the error count includes irrelevant errors from non-data symbols reducing measurement quality
Solution Approach 1:
The patent divides the symbol processing into segmented error counting: data symbols are counted for errors while non-data symbols are excluded. This segmentation maintains operational clarity while significantly improving measurement precision by focusing only on relevant symbols
Solution Approach 2:
The patent applies different quality standards to different symbol types: data symbols receive full error counting scrutiny while non-data symbols are excluded. This local differentiation ensures high measurement precision for actual data transmission without the complexity of uniform processing
Data Source
AI summary
A memory device, and an operating method of the memory device and a host device are provided. The method of operating a memory device includes receiving a command for requesting an Eye Open Monitor (EOM) operation performance from a host device, receiving pattern data including data and non-data from the host device, performing the EOM operation which performs an error count to correspond to the data, and does not perform the error count on the non-data, and transmitting an EOM response signal including the error count result to the host device.