Transport Block Link Adaptation for Mixed-Reliability Code Blocks
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Solution Overview
Problem
Current 5G NR systems lack flexibility in multiplexing data with different reliability targets in a single transport block, as they use a single modulation and coding scheme for the entire block, leading to sub-optimal performance for data with varying reliability requirements.
Innovation Solution
Implementing a method where data with different reliability requirements are mapped to separate code blocks within a transport block, applying distinct modulation and coding schemes to each block to match their specific needs, and transmitting the block after these schemes are applied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single modulation and coding scheme is used for the entire transport block, then the system is simple to implement, but data with different reliability requirements cannot be optimized
Solution Approach 1:
The transport block is segmented into multiple code blocks, each of which can be independently mapped to data with specific reliability requirements. This segmentation allows different modulation and coding schemes to be applied to different code blocks, enabling optimized transmission for each reliability requirement while maintaining manageable complexity through modular processing.
Solution Approach 2:
Different modulation and coding schemes are applied locally to different code blocks based on the specific reliability requirements of the data they contain. This local quality approach ensures that each code block receives the appropriate level of protection and optimization for its specific data type, rather than applying a uniform scheme across the entire transport block.
2Productivity
If data with different reliability requirements are multiplexed into one transport block, then spectral efficiency is improved, but reliability cannot be optimized for each data type
Solution Approach 1:
The transport block is divided into multiple code blocks that can be independently filled with data from different radio bearers having different reliability requirements. This segmentation enables both multiplexing of different data types into a single transport block for spectral efficiency, and independent optimization of each code block's reliability through appropriate modulation and coding scheme selection.
Solution Approach 2:
Each code block within the transport block is assigned a specific modulation and coding scheme tailored to the reliability requirements of the data it contains. This local quality approach allows critical data to receive more robust coding while less critical data uses more efficient but less reliable schemes, optimizing both overall spectral efficiency and individual data reliability.
3Reliability
If separate transport blocks are used for data with different reliability requirements, then reliability is optimized for each data type, but system complexity and overhead increase
Solution Approach 1:
Multiple code blocks with different reliability optimizations are merged into a single transport block structure. This merging allows the system to maintain the reliability benefits of separate handling for different data types while reducing the overhead and complexity associated with managing multiple independent transport blocks, as they are all processed and transmitted together as one unit.
Data Source
AI summary
For a network node in wireless communication with a UE, filling a TB such that at least two data with different reliability requirements are mapped to separate CBs. The network node applies different MCSs to at least the separate CBs comprising the data with different reliability requirements within the transport block. The network node transmits the TB toward the UE after the different MCSs have been applied. The UE can use a similar technique in UL in order to transmit. The UE may also receive the TB from the network node. The UE decodes and performs error checking of the CBs based on the corresponding MCSs that were applied.


