Code Block Decomposition for Successive Interference Cancellation
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Solution Overview
Problem
Existing wireless communications systems face challenges in efficiently managing multiple code blocks across spatial layers, leading to significant signaling overhead and reduced decoding accuracy due to nonlinear demodulation, particularly in LTE and 5G NR systems.
Innovation Solution
Implementing block decomposition configurations that divide code blocks into multiple parts associated with respective spatial layers, allowing for selective use of simpler and more complex demodulators based on a block decomposition configuration, reducing processing complexity and improving decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If code blocks are transmitted across multiple spatial layers using nonlinear demodulation, then spectral efficiency is improved, but decoding accuracy deteriorates and processing complexity increases
Solution Approach 1:
The code blocks are segmented into multiple code block parts, where each part is associated with a respective spatial layer. This segmentation allows the system to apply different demodulation approaches to different parts, thereby maintaining spectral efficiency while improving decoding accuracy for specific code block parts that require it.
Solution Approach 2:
Different demodulation techniques are applied to different code block parts based on their specific requirements. Some code block parts use simpler linear demodulation while others use complex nonlinear demodulation, optimizing the balance between processing complexity and decoding accuracy for each local segment.
2Measurement precision
If block decomposition configuration is implemented to divide code blocks into multiple parts, then decoding accuracy is improved, but signaling overhead increases
Solution Approach 1:
The block decomposition configuration is dynamically indicated to the UE based on current transmission conditions and requirements. The network entity selectively applies block decomposition only when beneficial, adapting the configuration to minimize signaling overhead while maintaining decoding accuracy improvements where needed.
3Productivity
If multiple code block parts are transmitted via different time-frequency resources, then resource utilization is enhanced, but processing latency increases
Solution Approach 1:
Code block parts are pre-configured and prepared for transmission across different time-frequency resources. The block decomposition configuration is established in advance, allowing the UE to efficiently process and combine code block parts from different resources without incurring excessive processing latency during actual transmission.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit, to a network entity, a channel state information (CSI) report. The UE may receive, based on the CSI report, an indication of a block decomposition configuration for transmission of multiple code blocks associated with at least one code word. Each of the multiple code blocks may be divided into multiple code block parts that are each associated with a respective spatial layer. The block decomposition configuration may indicate a first quantity of code block parts of a code block to be transmitted via a first set of time-frequency resources and may indicate at least a second quantity of code block parts of the code block to be transmitted via a second set of time-frequency resources. The UE may transmit the multiple code blocks in accordance with the block decomposition configuration.