Iterative Decoder Buffering With Confidence-Based Early Stopping
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Solution Overview
Problem
Existing iterative decoders in digital communication systems face challenges in increasing decoding throughput without significantly increasing power consumption and design complexity, as higher iteration numbers improve accuracy but burden computational resources.
Innovation Solution
A high-speed decoder with a buffer system that processes Q encoded data frames, generating confidence results and stopping decoding after a predetermined number of iterations, operates at a clock frequency based on average iterations needed for a target confidence level, and includes a second buffer for decoded frames, compatible with various communication standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of decoding iterations is increased to improve decoding accuracy and reduce bit error rate, then decoding throughput is improved, but computational burden, power consumption, and design complexity increase
Solution Approach 1:
The patent implements dynamic iteration control where the number of decoding iterations is adjusted based on confidence levels rather than using a fixed high iteration count. The decoder monitors confidence metrics during decoding and terminates early when sufficient accuracy is achieved, making the iteration process adaptive and condition-dependent rather than static and uniform.
Solution Approach 2:
The patent changes the parameter of iteration count from a fixed high value to a variable parameter that depends on confidence level thresholds. By dynamically adjusting the number of iterations based on measured confidence metrics, the system achieves high decoding accuracy only when necessary, reducing overall computational burden while maintaining reliability.
2Reliability
If the number of decoding iterations is increased to reduce bit error rate, then decoding accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic iteration control where the number of decoding iterations is adjusted based on confidence levels rather than using a fixed high iteration count. The decoder monitors confidence metrics during decoding and terminates early when sufficient accuracy is achieved, making the iteration process adaptive and condition-dependent rather than static and uniform.
Solution Approach 2:
The patent changes the parameter of iteration count from a fixed high value to a variable parameter that depends on confidence level thresholds. By dynamically adjusting the number of iterations based on measured confidence metrics, the system achieves high decoding accuracy only when necessary, reducing overall computational burden while maintaining reliability.
3Reliability
If the number of decoding iterations is increased to improve decoding accuracy, then bit error rate is reduced, but design complexity increases
Solution Approach 1:
The patent implements dynamic iteration control where the number of decoding iterations is adjusted based on confidence levels rather than using a fixed high iteration count. The decoder monitors confidence metrics during decoding and terminates early when sufficient accuracy is achieved, making the iteration process adaptive and condition-dependent rather than static and uniform.
Solution Approach 2:
The patent changes the parameter of iteration count from a fixed high value to a variable parameter that depends on confidence level thresholds. By dynamically adjusting the number of iterations based on measured confidence metrics, the system achieves high decoding accuracy only when necessary, reducing overall computational burden while maintaining reliability.
4Productivity
If clock frequency is increased to maintain decoding throughput with higher iterations, then decoding throughput is maintained, but power consumption and design complexity increase
Solution Approach 1:
The patent implements dynamic iteration control where the number of decoding iterations is adjusted based on confidence levels rather than using a fixed high iteration count. The decoder monitors confidence metrics during decoding and terminates early when sufficient accuracy is achieved, making the iteration process adaptive and condition-dependent rather than static and uniform.
Solution Approach 2:
The patent changes the parameter of iteration count from a fixed high value to a variable parameter that depends on confidence level thresholds. By dynamically adjusting the number of iterations based on measured confidence metrics, the system achieves high decoding accuracy only when necessary, reducing overall computational burden while maintaining reliability.
Data Source
AI summary
A high-speed decoder includes a buffer that includes buffer space for Q encoded data frames, where Q is a rational number greater than or equal to two. An iterative decoder receives the data frames from the buffer, generates a confidence result with each decoding iteration, and completes decoding a data frame when at least one of the number of iterations reaches a predetermined maximum number of iterations and the confidence result is greater than or equal to a predetermined confidence level. The iterative decoder stops decoding the Q data frames after a predetermined total number of iterations that is less than Q times the predetermined maximum number of iterations.