Temperature-Based Scrambling for Memory Error Control
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Solution Overview
Problem
Memory systems experience higher error rates when operating outside nominal temperature ranges, particularly in extreme temperatures, due to increased error proneness of NAND level states and scrambled data distribution across memory cells.
Innovation Solution
Implementing temperature-based scrambling codes that adjust data distribution to reduce error likelihood by prioritizing storage in less error-prone levels at extreme temperatures, using a scrambling table to select appropriate codes based on temperature readings and applying these codes during write operations to minimize errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If data is scrambled and stored in memory cells, then data distribution is improved, but error rate increases at extreme temperatures
Solution Approach 1:
The patent changes the scrambling code parameters based on temperature conditions. At extreme temperatures, a different scrambling code is used compared to nominal temperature operation. This parameter change allows the system to maintain good data distribution while avoiding the specific error-prone patterns that occur with standard scrambling at extreme temperatures, thus resolving the contradiction between data distribution and error rate.
Solution Approach 2:
The system dynamically selects the scrambling code based on the operating temperature. The memory controller monitors temperature and switches between different scrambling codes accordingly. This dynamic adaptation allows the system to optimize both data distribution and error performance for the current thermal conditions, resolving the contradiction that exists under static scrambling approaches.
2Device complexity
If standard scrambling codes are used across all temperature ranges, then device complexity is reduced, but error control performance deteriorates at extreme temperatures
Solution Approach 1:
Multiple scrambling codes are pre-defined and stored in the memory controller before operation. The appropriate code is selected based on temperature readings, eliminating the need for complex real-time code generation or selection algorithms. This preliminary preparation maintains low device complexity while enabling temperature-adaptive error control that improves reliability at extreme temperatures.
Data Source
AI summary
Methods, systems, and devices for temperature-based scrambling for error control in memory systems are described. Techniques are described for a memory system to scramble data using different scrambling code parameters when writing the data at different temperatures. Scrambling the data using scrambling code parameters that are based on the temperatures at the time or writing the data may reduce errors introduced into the data by operating the memory cells at extreme temperatures.