Variable Code Rate Transmission IC Buffer
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Solution Overview
Problem
Existing electronic circuits face challenges in error-tolerant communication between integrated circuits due to transient events such as changes in supply voltage, temperature, and clock signal parameters, leading to increased error rates of bits in signal transmission, particularly after exiting low power mode.
Innovation Solution
The system encodes information using error detection and correction codes, adjusting code rates based on error rates, and switches between encoded and non-encoded data transmission to optimize data transfer efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error detection and correction codes are used to reduce error rates, then reliability is improved, but device complexity increases due to encoding/decoding operations
Solution Approach 1:
The system dynamically adjusts the code rate of error detection and correction codes based on detected error rates. When error rates are high, a lower code rate (more redundancy) is used to maximize reliability. When error rates are low, the code rate is increased (less redundancy) to reduce complexity and improve throughput. This dynamic adaptation resolves the contradiction by making the complexity proportional to the actual reliability needs.
Solution Approach 2:
The system changes the parameter of code rate based on channel conditions. By monitoring error rates and adjusting the code rate parameter accordingly, the system optimizes the balance between reliability and complexity. The code rate becomes a variable parameter rather than a fixed value, allowing the system to adapt to changing transmission conditions.
2Productivity
If higher code rates are used to increase data transfer rates, then productivity is improved, but reliability deteriorates due to reduced error correction capability
Solution Approach 1:
The system dynamically adjusts the code rate based on real-time error rate measurements. When the channel quality is good (low error rates), higher code rates are used to maximize data transfer rate. When channel quality deteriorates (high error rates), the code rate is reduced to maintain reliability. This dynamic adjustment resolves the contradiction by making productivity and reliability context-dependent rather than permanently opposing.
Solution Approach 2:
The system implements feedback by monitoring error rates in transmitted data and using this information to adjust future code rate selections. The error rate measurements feed back into the code rate selection logic, creating a closed-loop system that continuously optimizes the balance between productivity and reliability based on actual channel performance.
3Reliability
If encoding is always applied to ensure reliability, then reliability is improved, but loss of time increases due to encoding/decoding overhead
Solution Approach 1:
Instead of always applying full error correction encoding, the system applies encoding selectively based on channel conditions. When error rates are low, less aggressive encoding (higher code rates) is used, reducing time overhead. When error rates are high, more aggressive encoding (lower code rates) is applied only when necessary. This partial action approach resolves the contradiction by applying encoding intensity proportional to actual needs.
Solution Approach 2:
The system changes the encoding parameter (code rate) based on channel conditions rather than using a fixed encoding scheme. By adjusting the code rate parameter dynamically, the system optimizes the trade-off between reliability and time overhead, using stronger encoding only when the channel conditions warrant it.
4Reliability
If lower code rates are used to reduce error rates, then reliability is improved, but productivity decreases due to reduced data transfer efficiency
Solution Approach 1:
The system dynamically selects code rates based on real-time channel quality assessment. When channel conditions are poor (high error rates), lower code rates are used to ensure reliability. When channel conditions improve (low error rates), the system transitions to higher code rates to maximize productivity. This dynamic behavior resolves the contradiction by making reliability and productivity situation-dependent rather than permanently opposing.
Solution Approach 2:
The code rate parameter is adjusted based on measured error rates and channel conditions. The system changes this critical parameter to optimize the balance between reliability and productivity, using lower code rates only when reliability concerns are justified by actual channel performance rather than as a permanent constraint.
Data Source
AI summary
An integrated circuit device includes an output buffer circuit that provides a first output having a first code rate. The first output is provided in response to a first indication of a change in a parameter that affects an error rate of the first output. The first output includes redundant information. The output buffer circuit provides a second output having a second code rate. The second output is provided in response to a second indication of the second output having an error rate that is different than the error rate of the first output. The second code rate of the second output is different than the first code rate.