Memory System Signal Parameter Optimization for Mounting Variations
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Solution Overview
Problem
The reliability of communication between a host and a memory system is compromised due to varying mounting environments, as existing memory systems do not adequately adjust signal parameters like drive level and emphasis parameters, leading to inconsistent noise margins and potential signal invalidation.
Innovation Solution
A memory system that repeatedly performs signal transmission operations with varying parameter value sets to determine optimal settings, storing these in a register for subsequent signal adjustments, ensuring valid signal transmission regardless of mounting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed signal parameters are used in memory system communication, then device complexity is reduced, but communication reliability deteriorates due to varying mounting environments
Solution Approach 1:
The patent applies preliminary action by performing signal parameter optimization operations before normal communication begins. The controller conducts multiple test transmissions with different parameter value sets from a predetermined table, determines the optimal parameters in advance, and stores them for subsequent use. This ensures communication reliability is established beforehand rather than reacting to failures.
Solution Approach 2:
The patent implements parameter changes by varying signal transmission parameters (such as drive level, equalization coefficients, preamble patterns) through a predetermined table of multiple parameter value sets. The controller selects different parameter combinations from this table during optimization operations to find the best match for the specific mounting environment, thereby improving communication reliability without requiring complex real-time adjustment mechanisms.
2Reliability
If multiple parameter value sets are tested to optimize signal transmission, then communication reliability improves, but operation time increases
Solution Approach 1:
The optimization operations are performed as preliminary actions during manufacturing or initial setup, not during normal operation. The controller tests multiple parameter value sets and determines optimal parameters before the memory system enters regular use. This timing strategy minimizes impact on operational time while ensuring reliability for all subsequent communications.
Solution Approach 2:
The patent uses a predetermined table of parameter value sets that contains more combinations than strictly necessary, performing slightly excessive testing to ensure optimal parameters are found. This approach guarantees reliability by thoroughly testing parameter combinations, accepting some additional time during the optimization phase as a worthwhile trade-off for ensuring robust communication under varying mounting conditions.
3Object-affected harmful factors
If signal magnitude and waveform are adjusted based on mounting environment, then noise margin is improved, but device complexity increases
Solution Approach 1:
The patent changes signal parameters (magnitude, waveform characteristics, equalization coefficients) based on detected mounting environment conditions. The controller adjusts these parameters by selecting appropriate value sets from a predetermined table, allowing the interface to adapt to different noise conditions and mounting variations. This improves noise margin by optimizing signal characteristics for each specific environment without requiring a completely redesigned interface architecture.
Solution Approach 2:
The patent introduces dynamics by making the interface parameters adjustable rather than fixed. The controller dynamically selects from multiple predetermined parameter value sets based on the mounting environment, enabling the system to adapt its signal transmission characteristics. This dynamic adjustment capability improves noise margin while maintaining manageable complexity through the use of predetermined parameter tables rather than complex real-time calculation mechanisms.
Data Source
AI summary
A memory system includes: a memory device suitable for storing data; a controller suitable for controlling the memory device; an interface suitable for communication between a host and the controller; a register suitable for storing a parameter value set associated with a waveform and a magnitude of a signal provided by the interface to the host, wherein the controller is suitable for: performing signal transmission operations for candidates of the parameter value set, storing a new parameter value set, which is determined based on the responses of the signal transmission operations, in the register, and controlling the interface to transfer a new signal having adjusted waveform and magnitude to the host based on the new parameter value set.