LDPC Channel Coding for Variable Block Size and 5G Throughput
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Solution Overview
Problem
Current communication systems, particularly 5G, face challenges in overcoming channel noise, fading, and inter-symbol interference, which affect data throughput and reliability, necessitating improved error-correcting codes for high-speed digital communication.
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 with a weight distribution satisfying balancing conditions to enhance decoder throughput and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional error-correcting codes are used in 5G communication systems, then basic data transmission is achieved, but data reliability and throughput are insufficient due to channel noise, fading, and inter-symbol interference
Solution Approach 1:
The patent applies parameter changes by utilizing LDPC codes with variable code rates and block lengths. The system dynamically adjusts the code rate (k/n ratio) and block size parameters to optimize the balance between reliability and throughput based on channel conditions. This allows the communication system to adapt to varying noise levels and interference patterns, improving both data reliability and throughput simultaneously.
Solution Approach 2:
The patent implements dynamics through adaptive LDPC decoding that adjusts processing intensity and iteration counts based on channel quality. The system dynamically switches between different decoding modes and parameters to maintain optimal performance across varying communication conditions, resolving the contradiction between reliability requirements and throughput efficiency.
2Adaptability or versatility
If LDPC codes with fixed parameters are used, then decoding complexity is reduced, but flexibility to support various input lengths and coding rates is limited
Solution Approach 1:
The patent applies segmentation by dividing the LDPC code structure into modular components with standardized parity check matrices. This segmentation allows the decoder to handle different code rates and block lengths by selectively processing relevant segments, providing flexibility for various input lengths while maintaining manageable decoder complexity through reusable modular structures.
Solution Approach 2:
The patent implements universality by designing a unified LDPC decoder architecture that can process multiple code rates and block lengths using the same fundamental decoding algorithms. The universal decoder structure accepts various input parameters and adjusts its operation accordingly, achieving high adaptability without proportionally increasing device complexity.
3Productivity
If high code rates are used to increase throughput, then data transmission speed improves, but error correction capability deteriorates in noisy channels
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the code rate parameter based on channel quality feedback. When channel conditions are good, higher code rates are used to maximize throughput. When noise and interference increase, the system automatically switches to lower code rates with stronger error correction capability, thereby resolving the contradiction between throughput and reliability through adaptive parameter selection.
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.