LDPC Base Matrix Expansion for Flexible 5G Code Block Lengths
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Solution Overview
Problem
Current LDPC code systems face challenges in supporting diverse code block lengths and code rates, limiting their flexibility and performance in wireless communication systems.
Innovation Solution
The proposed solution involves using a lifting factor Z and a base matrix to generate an LDPC matrix, which can be transformed or offset to accommodate different code block lengths, allowing for flexible code length and rate requirements through row/column transformations and parameter storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed LDPC matrix structure is used, then the decoding complexity is low, but the system cannot support diverse code block lengths and code rates
Solution Approach 1:
The LDPC matrix is segmented into a base matrix and multiple expansion matrices. The base matrix contains the fundamental structure, while expansion matrices allow for different code block lengths and code rates. This segmentation enables the system to support diverse coding requirements without redesigning the entire LDPC matrix structure.
Solution Approach 2:
The patent employs dynamic selection of expansion matrices based on the required code block length and code rate. The system can dynamically switch between different expansion matrices to adapt to varying communication conditions, thereby achieving versatility without permanently increasing structural complexity.
2Reliability
If different LDPC matrices are designed for different code block lengths, then the encoding and decoding performance can be optimized, but the system complexity and implementation difficulty increase
Solution Approach 1:
The base matrix is designed to be universal and can be combined with different expansion matrices to serve multiple coding requirements. This multi-functional design allows a single base matrix structure to support various code block lengths and code rates, optimizing performance without proportionally increasing system complexity.
Solution Approach 2:
The patent changes parameters such as the lifting factor and expansion matrix selection to adapt to different code block lengths and code rates. By adjusting these parameters rather than redesigning the entire matrix structure, the system achieves optimized encoding and decoding performance while controlling implementation complexity.
3Adaptability or versatility
If the LDPC matrix is expanded to support multiple code block lengths, then the versatility improves, but the memory requirements and processing overhead increase
Solution Approach 1:
The expansion matrices are designed to nest within the base matrix structure, where smaller expansion matrices can be contained within larger ones. This nested structure allows the system to support multiple block lengths by selectively activating appropriate nested levels, reducing memory requirements compared to storing completely separate matrices for each block length.
Data Source
AI summary
Embodiments of this application disclose provides a low density parity check (LDPC) channel encoding method for use in a wireless communications system. A communication device encodes an input bit sequence by using a LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. Embodiments of the application provide eight particular designs of the base matrix. The encoding method provided in the embodiments of the application can be used in various communications systems including the fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.