Polar Code Sequence Reordering for Short-Packet Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current polar coding methods face challenges in achieving desired performance for medium-packet or short-packet transmission and have high calculation complexity, particularly in 5G wireless communications systems, where the accuracy of reliability ordering of polarized channels is not satisfactory.
Innovation Solution
A polar coding method that selects sequences with good performance based on a performance determining rule, determines sequence numbers with unchanged reliability, and adjusts element locations to improve the reliability order of polarized channels, thereby enhancing coding/decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional turbo code or LDPC code is used for medium-packet or short-packet transmission, then coding/decoding performance can be achieved, but calculation complexity becomes excessively high
Solution Approach 1:
The patent changes the fundamental parameters of the coding scheme by adopting polar codes with a specific reliability-based sequence construction method. This involves changing the code structure parameters and the sequence assignment parameters to achieve better performance-complexity tradeoff for medium-packet and short-packet transmissions
Solution Approach 2:
The patent segments the code construction process into distinct phases: determining reliability orders of polarized channels, constructing sequences based on these reliability orders, and mapping information bits to selected sequences. This segmentation allows for optimized performance at each stage while controlling overall complexity
2Device complexity
If polar code is used to achieve Shannon capacity with simple coding/decoding complexity, then coding/decoding performance is improved, but accuracy of reliability order of polarized channels becomes insufficient for 5G requirements
Solution Approach 1:
The patent introduces dynamic adjustment mechanisms where the sequence construction adapts to different code lengths and transmission scenarios. The reliability orders are determined dynamically based on channel conditions and code parameters, allowing the system to optimize performance for varying 5G communication requirements
Solution Approach 2:
The patent performs preliminary determination of reliability orders of polarized channels before actual coding operations. By pre-calculating and storing the reliability-based sequence assignments for different code lengths, the system prepares optimized mapping configurations in advance, improving both accuracy and reducing real-time computational burden
Data Source
AI summary
Example polar coding methods and apparatus are described. One example method includes determining a sequence used to code to-be-coded bits. Polar coding is performed on the to-be-coded bits by using the sequence to obtain coded bits. The sequence is used to represent a reliability order of N polarized channels, N is a mother code length of a polar code, and N is a positive integer power of 2.