Polar Coding Bit Scrambling for Faster Channel Detection
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Solution Overview
Problem
Current channel coding technologies, such as those used in 5G communications, face challenges in improving coding and decoding efficiency and reducing channel detection latency, particularly in scenarios like enhanced mobile broadband, massive machine type communications, and ultra-reliable and low latency communications.
Innovation Solution
A method and apparatus that involve determining positions of information, fixed, and assistant bits, scrambling these bits using a scrambling sequence, and performing polar coding to enhance coding efficiency and reduce latency by eliminating signals not from the sending device during decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If polar coding is used to achieve channel capacity, then coding reliability is improved, but coding and decoding efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by performing scrambling on selected bits (information bits, assistant bits, or fixed bits) before polar coding. The scrambling sequence is generated and applied in advance to the to-be-scrambled bit set, which allows the decoder to quickly eliminate incorrect signals during channel detection. This preliminary scrambling operation improves decoding efficiency by enabling faster identification of valid codewords, thereby resolving the contradiction between reliability and efficiency.
2Reliability
If polar coding is used to achieve channel capacity, then coding reliability is improved, but channel detection latency increases
Solution Approach 1:
The patent applies preliminary action by performing scrambling on selected bits (information bits, assistant bits, or fixed bits) before polar coding. The scrambling sequence is generated and applied in advance to the to-be-scrambled bit set, which allows the decoder to quickly eliminate incorrect signals during channel detection. This preliminary scrambling operation improves decoding efficiency by enabling faster identification of valid codewords, thereby resolving the contradiction between reliability and efficiency.
3Measurement precision
If scrambling is performed on all bits, then signal identification accuracy is improved, but coding complexity increases
Solution Approach 1:
The patent applies local quality by selectively scrambling only certain bits (information bits, assistant bits, or fixed bits) rather than all bits in the codeword. The to-be-scrambled bit set is specifically selected from these categories, and the scrambling sequence is applied only to these positions. This localized scrambling approach maintains signal identification accuracy for the critical bits while reducing overall coding complexity compared to scrambling all bits, thus resolving the contradiction between precision and complexity.
Data Source
AI summary
The present disclosure relates to coding/decoding methods, apparatus, and devices. One example method includes obtaining, by a sending device, positions of information bits, positions of fixed bits, and positions of assistant bits, allocating the information bits, the fixed bits, and the assistant bits in a to-be-coded sequence based on the obtained positions, obtaining a scrambling sequence, obtaining a scrambling sequence, scrambling a bit in a to-be-scrambled bit set based on the scrambling sequence to obtain a scrambled sequence, and performing polar coding to obtain a coded sequence for sending.