PBCH Polar Coding With Multi-Level Transform and Unequal Time Gaps
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Solution Overview
Problem
Current polar coding techniques face challenges in achieving ideal performance, particularly in medium and short packet transmission due to high calculation complexity and limited code length, and require improvement to meet the demands of advanced wireless communication scenarios like 5G systems.
Innovation Solution
The proposed method involves performing at least two levels of transformation on the encoded polar code sequence, sending it in inconsecutive time units with varying time intervals, and using transformations like scrambling, interleaving, and reordering to enhance decoding reliability and communication quality, particularly for PBCH applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If polar encoding is applied to medium and short packet transmission with limited code length, then the code can achieve ideal performance, but the calculation complexity becomes high and decoding reliability decreases
Solution Approach 1:
The patent divides the encoded sequence into multiple groups and performs multiple levels of transformation (scrambling, interleaving, reordering) on different segments of the sequence. This segmentation approach distributes the transformation operations across multiple groups, reducing the calculation complexity for each individual group while maintaining overall decoding reliability through the combined effect of multiple transformations.
Solution Approach 2:
The patent introduces multiple transformation dimensions (scrambling, interleaving, reordering) to enhance the encoding process. By applying transformations across different dimensions rather than a single transformation, the system achieves better decoding reliability without proportionally increasing calculation complexity, as each transformation layer can be processed independently.
2Adaptability or versatility
If polar encoding is used in future communication systems like 5G, then the system can meet new communication scenario requirements, but the encoding/decoding performance is not ideal and needs improvement
Solution Approach 1:
The patent designs a multi-level transformation framework that can be universally applied to polar encoding in various communication scenarios (eMBB, mMTC, URLLC). The same transformation structure (scrambling, interleaving, reordering) works across different communication requirements, providing adaptability while improving encoding/decoding performance through the cumulative effect of multiple transformation layers.
Solution Approach 2:
The patent employs dynamic transformation parameters where the transformation amounts and patterns can be adjusted based on communication conditions. This dynamic approach allows the system to adapt to different 5G communication scenarios while maintaining optimal encoding/decoding performance, as the transformation parameters can be optimized for specific channel conditions and traffic types.
3Reliability
If transformation operations are performed on encoded sequences, then information transmission reliability improves, but the device complexity increases
Solution Approach 1:
The patent segments the encoded sequence into multiple groups and applies transformation operations to each group independently. This segmentation reduces the complexity of each transformation operation while the combined effect across all groups enhances information transmission reliability, achieving a balance between complexity and performance.
Solution Approach 2:
The patent applies multiple levels of transformation operations (scrambling, interleaving, reordering) which represents an excessive action approach. By applying more transformations than a single operation would provide, the system achieves enhanced reliability through cumulative transformation effects while managing complexity by distributing operations across multiple groups and levels.
Data Source
AI summary
Example polar code-based transmission methods and apparatus are provided, to apply polar encoding to a physical broadcast channel (PBCH). One example method includes performing polar encoding on a to-be-encoded first bit sequence by a transmit end to generate an encoded sequence. The transmit end performs a transformation operation on the encoded sequence to obtain a second bit sequence, where the transformation operation includes at least one of scrambling, interleaving, or reordering. The transmit end sends the second bit sequence in M inconsecutive time units, where at least two time intervals between the time units in the M inconsecutive time units are unequal.


