Wireless Transmission Device LDPC Coding Adaptation
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Solution Overview
Problem
The transition from LTE to 5G communications systems requires a change in data channel coding methods, as the coding procedure used for turbo codes in LTE cannot be directly applied to the low-density parity-check code (LDPC) used in 5G systems, necessitating a method to perform LDPC coding on transport blocks effectively.
Innovation Solution
A wireless transmission device determines a target modulation and coding scheme (MCS) level based on correspondence tables, allowing it to perform LDPC coding or decoding on transport blocks by selecting appropriate modulation schemes and transport block parameters, including code rate information and LDPC base graph information, to optimize channel usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the turbo code coding procedure from LTE is used, then the data channel can be coded in the LTE system, but the coding method cannot be directly applied to the 5G system which requires LDPC coding
Solution Approach 1:
The patent changes the coding parameters from turbo code parameters to LDPC code parameters, including changing the code structure, parity check matrix, and coding procedure parameters to match the requirements of 5G LDPC coding while maintaining the transport block coding function
Solution Approach 2:
The patent implements dynamic selection of LDPC base graphs and coding parameters based on the transport block size and code rate requirements, allowing the coding system to adapt dynamically to different 5G communication scenarios while ensuring reliable coding performance
2Productivity
If the turbo code coding procedure is used in 5G system, then the existing LTE coding structure can be maintained, but the coding performance and channel utilization will be suboptimal
Solution Approach 1:
The patent segments the LDPC coding procedure into distinct stages including information bit grouping, base graph selection, parity bit generation, and puncturing/repetition operations, allowing each stage to be optimized independently for better channel utilization while managing complexity through modular processing
3Productivity
If appropriate MCS levels and parameters are selected, then the channel utilization can be optimized, but the complexity of parameter selection and correspondence management increases
Solution Approach 1:
The patent pre-establishes correspondence tables that map MCS levels to specific LDPC coding parameters including base graph selection, code rates, and transport block sizes, allowing the system to quickly determine optimal parameters through table lookup rather than complex real-time calculations, thus optimizing channel utilization while managing complexity
Data Source
AI summary
Embodiments of this application provide an information processing method and a wireless transmission device. The method includes: obtaining, by a wireless transmission device, a target modulation and coding scheme MCS level; determining, by the wireless transmission device based on a correspondence among MCS levels, modulation schemes, and transport block parameters, a target modulation scheme and a target transport block parameter that correspond to the target MCS level; and performing, by the wireless transmission device, low-density parity-check code LDPC coding or decoding on a transport block based on the target modulation scheme and the target transport block parameter. According to the foregoing technical solution, a wireless transmission device in a system in which LDPC coding is used may perform LDPC coding or decoding on a transport block.