Memory Area Bit-Order Mapping for Uneven Error Distribution
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Solution Overview
Problem
Existing memory systems encode and decode data assuming errors are evenly distributed across memory, which is not the case due to unreliable storage locations, leading to suboptimal decoding performance.
Innovation Solution
The system modifies codewords by switching bits based on bad storage locations, using codebooks optimized for specific memory areas to ensure an equalized distribution of bad bits, thereby improving decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard encoding schemes are used assuming evenly distributed errors, then device complexity is reduced and ease of manufacture is improved, but decoding performance deteriorates due to non-uniform error distribution in unreliable storage locations
Solution Approach 1:
The patent applies local quality by creating area-specific codebooks tailored to different memory regions. Each memory area receives a customized codebook that accounts for its specific error characteristics, rather than using a uniform encoding scheme across the entire memory device. This localized approach improves decoding performance in each specific area while managing overall system complexity.
Solution Approach 2:
The patent segments the memory device into multiple areas, each with its own error characteristics and optimized codebook. By dividing the memory space and applying different encoding parameters to different segments, the system achieves better overall decoding performance without requiring a completely complex custom solution for the entire device.
2Reliability
If area-specific codebooks are implemented to account for non-uniform error distribution, then decoding performance is improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent implements preliminary action by pre-characterizing memory areas and pre-generating optimized codebooks during manufacturing or initialization. Error characteristics of different memory areas are measured in advance, and appropriate codebooks are prepared beforehand based on these characteristics. This eliminates the need for complex real-time analysis during normal operation, simplifying the manufacturing and operational processes.
Solution Approach 2:
The system performs self-characterization by automatically measuring error rates in different memory areas and generating appropriate codebooks without requiring external intervention. The memory device itself provides the information needed to optimize its own encoding schemes, reducing manufacturing complexity while improving error correction capability.
Data Source
AI summary
A storage device may program data differently for different memory areas of a memory. In some embodiments, the storage device may use different codebooks for different memory areas. In other embodiments, the storage device may modify bit orders differently for different memory areas. What codebook the storage device uses or what bit order modification the storage device performs for a particular memory area may depend on the bad storage locations specific to that memory area. Where different codebooks are used, optimal codebooks may be selected from a library, or codebooks may be modified based on the bad storage locations of the memory areas.