Polar Channel Reliability Sorting for Short-Packet Encoding
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Solution Overview
Problem
Current polar code encoding methods face challenges in achieving ideal encoding/decoding performance, particularly in medium and short packet transmissions, due to high computation complexity and limited code length, and accuracy of reliability sorting of polar channels is not ideal, affecting overall performance in evolving wireless communication systems like 5G.
Innovation Solution
A polar code encoding method that sorts sequence numbers of polar channels based on reliability, selecting the most reliable channels for encoding, using specific formulas to calculate channel reliability, and performing polar code encoding on the sorted channels to reduce computation complexity and improve encoding/decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If polar code encoding is used to achieve low encoding/decoding complexity, then implementation complexity is reduced, but accuracy of reliability sorting of polar channels deteriorates
Solution Approach 1:
The patent changes the parameters used for reliability sorting from traditional methods (such as Bhattacharyya parameter or Zubkov parameter alone) to a composite parameter that combines multiple factors including mutual information, Bhattacharyya parameter, and channel polarization degree. This parameter transformation enables more accurate reliability sorting while maintaining the low complexity advantage of polar codes, directly resolving the contradiction between simplicity and accuracy.
2Ease of manufacture
If traditional reliability sorting methods are used, then implementation is simple, but encoding/decoding performance deteriorates
Solution Approach 1:
The patent creates a composite reliability metric by combining multiple evaluation dimensions (mutual information, Bhattacharyya parameter, channel polarization degree) into a unified sorting criterion. This composite approach maintains implementation feasibility while significantly improving encoding/decoding performance, especially for medium and short packet transmissions in 5G scenarios, thus resolving the contradiction between simplicity and performance.
3Productivity
If code length is limited for medium and short packet transmission, then transmission efficiency is improved, but performance of turbo code and LDPC code deteriorates
Solution Approach 1:
The patent applies local quality optimization by specifically tailoring the reliability sorting method for polar codes to suit medium and short packet transmission scenarios. The composite parameter approach focuses on local channel characteristics relevant to short packets, enabling polar codes to achieve superior performance in this specific domain where traditional codes fail, thus resolving the contradiction between transmission efficiency and performance.
Data Source
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AI summary
This application relates to the field of communications technologies, and discloses a polar code encoding method and apparatus, to improve accuracy of reliability computation and sorting of polar channels. The method is: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polar channels, and the sequence numbers of the N polar channels are arranged in the first sequence based on reliability of the N polar channels, where K is a positive integer, N is a mother code length of a polar code, N is a positive integer power of 2, and K≤N; selecting sequence numbers of K polar channels from the first sequence in descending order of the reliability; and placing the to-be-encoded bits based on the selected sequence numbers of the K polar channels, and performing polar code encoding on the to-be-encoded bits.