Polar Code Bit Grouping for High-Order QAM Mapping
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Solution Overview
Problem
Current communication systems using polar codes face challenges in efficiently mapping coded bits to modulation symbols, particularly in high-order QAM schemes, which affects data throughput and error correction capabilities, especially in high-frequency bands like the new radio (NR) communication system.
Innovation Solution
The method involves grouping coded bits into multiple groups based on their indices and channel reliability, configuring higher and lower bits within each modulation symbol, and performing interleaving operations to optimize bit arrangement and modulation, thereby improving data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high order QAM scheme is used to improve data throughput, then data throughput is improved, but bit error rate increases
Solution Approach 1:
The coded bit sequence is divided into multiple groups (first group, second group, etc.) based on bit indices. This segmentation allows different groups to be mapped to different bit positions (higher bits or lower bits) within modulation symbols, enabling selective mapping that optimizes both throughput and error rate performance in high-order QAM schemes
Solution Approach 2:
Different groups of coded bits are assigned to different positions within modulation symbols based on their indices. Specifically, bits from the first group are configured as higher bits while bits from the second group are configured as lower bits (or vice versa depending on index comparison). This local differentiation in bit assignment improves the overall system performance by optimizing the mapping between coded bits and modulation symbol bits
2Ease of operation
If coded bits are mapped to modulation symbols without optimization, then mapping process is simple, but channel reliability is not maximized
Solution Approach 1:
The coded bit sequence is pre-grouped into multiple groups based on bit indices before the actual modulation mapping process. This preliminary grouping and index comparison establishes a systematic mapping rule that determines which group's bits will be assigned to higher or lower positions within modulation symbols, thereby maximizing channel reliability through optimized bit-to-symbol mapping
Data Source
AI summary
A method of processing a transmission signal may comprise grouping a coded bit sequence including a plurality of coded bits into a plurality of groups; comparing indices of code bits belonging to a first group among the plurality of groups and indices of code bits belonging to a second group among the plurality of groups; configuring the coded bits belonging to the first group as higher bits among bits constituting each modulation symbol based on a result of comparing the indices of the coded bits; configuring the coded bits belonging to the second group as lower bits among the bits constituting each modulation symbol based on the result of comparing the indices of the code bits; and generating the each modulation symbol by using the higher bits and the lower bits.