Polar Code Encoding Reliability Order Accuracy
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Solution Overview
Problem
Current polar codes face challenges in achieving desired performance, particularly in medium or short-packet transmissions and high bit rate scenarios, due to limitations in coding/decoding complexity and accuracy of reliability order in polarized channels, which are crucial for advanced wireless communication systems like 5G.
Innovation Solution
A polar coding method that selects sequences based on performance determining rules to improve the accuracy of reliability order of polarized channels, using sequences like Q and Z sequences to optimize the sorting and placement of bits for enhanced coding/decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If polar code is used to achieve Shannon capacity with simple coding/decoding complexity, then coding/decoding complexity is reduced, but accuracy of reliability order of polarized channels deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing reliability order sequences (such as Q-sequence and Z-sequence) for different code lengths and information bit lengths before actual communication occurs. When encoding, the system directly selects the pre-computed sequence based on current parameters, avoiding complex real-time reliability calculation while maintaining high accuracy in determining the reliability order of polarized channels.
2Reliability
If turbo code or LDPC code is used to improve coding/decoding performance, then reliability is improved, but calculation complexity increases
Solution Approach 1:
The patent applies parameter changes by systematically varying code length N and information bit length K to generate different reliability order sequences. For each combination of N and K, pre-computed sequences are stored that optimize the reliability order for that specific parameter set. This allows the system to achieve high coding/decoding performance adapted to specific transmission requirements without incurring the high calculation complexity of turbo codes or LDPC codes, as the optimal sequencing is determined in advance based on parameter combinations.
Data Source
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AI summary
This application relates to the field of communications technologies, and discloses a polar coding method and apparatus, so as to improve accuracy of a reliability order of polarized channels. The method includes: determining a sequence used to code to-be-coded bits, and performing polar coding on the to-be-coded bits by using the sequence to obtain coded bits, where 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.