LDPC Decoding with Soft-Bit Banking for Faster De-Rate Matching
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Solution Overview
Problem
The existing decoding methods for LDPC codes in 3GPP New Radio protocols face complexity in addressing operations such as x/Zc or x % Zc during de-rate matching, which complicates the processing of soft bits and reduces de-rate matching efficiency.
Innovation Solution
A decoding method and apparatus that divides data before de-interleaving into first and second data banks, acquiring punctured data, and performing decoding based on soft bit encoding locations to simplify the de-rate matching process, thereby improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual addressing operations (x/Zc or x % Zc) are used for each soft bit in de-rate matching, then precise positioning of soft bits is achieved, but processing complexity increases significantly
Solution Approach 1:
The patent divides the data before de-interleaving into multiple data banks (first data banks and second data banks) based on soft bit encoding locations. This segmentation allows the decoder to process groups of soft bits simultaneously rather than individually, eliminating the need for complex addressing operations (x/Zc or x % Zc) for each soft bit while maintaining precise positioning through the bank structure.
2Reliability
If soft bits are processed individually in de-rate matching, then accurate decoding is achieved, but processing time increases
Solution Approach 1:
The patent merges multiple soft bits into data banks for parallel processing. By combining the processing of multiple soft bits into unified bank structures, the system achieves accurate decoding while significantly reducing processing time compared to individual soft bit processing.
3Measurement precision
If complex addressing operations are implemented for de-rate matching, then precise soft bit retrieval is achieved, but computational overhead increases
Solution Approach 1:
By segmenting soft bits into predefined data banks according to their encoding locations, the patent eliminates the need for computationally intensive addressing operations. The bank structure provides implicit positioning, reducing computational energy consumption while maintaining precise soft bit location accuracy.
Data Source
AI summary
A decoding method and apparatus, a network device, and a storage medium are provided. The method includes: receiving data before de-interleaving and soft bit encoding locations; dividing the data before de-interleaving to obtain first data banks; acquiring punctured data, and obtaining second data banks according to the punctured data, wherein the data before de-interleaving and the punctured data are determined in encoded data according to the soft bit encoding locations; and performing decoding according to the soft bit encoding locations, the first data banks and the second data banks, so as to obtain decoded data.