LDPC Channel Coding Matrix for Flexible 5G Decoder Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems, particularly 5G, face challenges in maintaining high data throughput and reliability due to channel noise, fading, and inter-symbol interference, necessitating advanced error-correcting codes for improved performance.
Innovation Solution
The development of a low-density parity-check (LDPC) encoding/decoding method that supports various input lengths and coding rates, utilizing a designed parity check matrix and elementary matrix to enhance decoder throughput and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advanced error-correcting codes are used to overcome noise and interference, then communication reliability is improved, but device complexity increases
Solution Approach 1:
The parity check matrix is segmented into information word submatrices and parity bit submatrices, allowing separate processing of information and parity components. This segmentation enables the decoder to handle different parts of the code independently, reducing overall computational complexity while maintaining error correction capability
Solution Approach 2:
The patent employs variable block sizes (Z=60, 120, 240, 480) and adjustable coding rates by modifying the parity check matrix parameters. This allows the system to adapt to different channel conditions and throughput requirements, improving reliability across varying operational scenarios without requiring completely different decoder architectures
2Adaptability or versatility
If LDPC encoding/decoding supports various input lengths and coding rates, then adaptability is improved, but device complexity increases
Solution Approach 1:
The parity check matrix structure with information word submatrices and parity bit submatrices serves multiple functions: it supports variable block sizes (60, 120, 240, 480), accommodates different coding rates, and enables both systematic and non-systematic LDPC codes. This universal structure eliminates the need for multiple specialized decoders, reducing device complexity while maintaining high adaptability
Solution Approach 2:
The system dynamically adjusts the parity check matrix configuration based on required block size and coding rate. The information word submatrices and parity bit submatrices can be reconfigured to match different operational requirements, allowing the same hardware to adapt to varying input lengths and coding rates without requiring complete redesign
3Productivity
If decoder throughput is enhanced through optimized parity check matrix design, then productivity is improved, but manufacturing precision requirements increase
Solution Approach 1:
The segmented parity check matrix structure with distinct information word submatrices and parity bit submatrices enables parallel processing paths in the decoder. This segmentation allows throughput optimization through pipelining and parallel computation while maintaining clear separation of functions, reducing the precision requirements for inter-component communication
Data Source
AI summary
A method for channel encoding in a communication or broadcasting system is provided. The method includes determining a block size Z, and performing encoding based on the block size and a first matrix corresponding to the block size, wherein the first matrix is determined based on information and a plurality of second matrices, and wherein a part of a column index indicating a position of a non-zero element in each row of the information includes an index according to mathematical expression 22 above.