Polar Coding With Selective Bit Scrambling for Faster Channel Detection
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Solution Overview
Problem
Existing channel coding technologies in 5G communications lack efficiency and effectiveness in reducing channel detection latency.
Innovation Solution
A coding method that involves determining positions of information, fixed, and assistant bits, scrambling these bits using a scrambling sequence such as RNTI, and performing polar coding to improve efficiency and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional channel coding methods are used, then coding and decoding can be performed, but channel detection latency is high and efficiency is low
Solution Approach 1:
The patent applies preliminary action by performing scrambling on selected bits (information bits, fixed bits, or assistant bits) before polar coding. This preprocessing step enables the receiver to perform early validation by comparing scrambled bits against expected values, allowing channel detection to occur faster and reducing overall latency while maintaining coding efficiency
2Reliability
If all bits are scrambled before coding, then channel detection can be improved, but coding complexity increases
Solution Approach 1:
The patent applies local quality by selectively scrambling only certain bits (information bits, fixed bits, or assistant bits) rather than all bits. This targeted approach maintains channel detection accuracy by scrambling bits that provide validation value, while reducing coding complexity compared to full-bit scrambling
3Loss of time
If scrambling is performed on assistant bits and fixed bits, then channel detection latency is reduced, but the coding process becomes more complex
Solution Approach 1:
The patent applies preliminary action by performing scrambling on assistant bits and fixed bits before polar coding. This enables the receiver to use these scrambled bits for early channel detection and validation, reducing coding latency. The complexity is managed by limiting scrambling to specific bit positions rather than all bits
Data Source
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AI summary
This application provides a coding/decoding method, apparatus, and device. The coding method includes: determining, 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 determined positions; obtaining a scrambling sequence; determining a to-be-scrambled bit set based on the fixed bits and/or the assistant bits; and scrambling a bit in the 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. The decoding method includes: decoding and checking, by a receiving device, a to-be-decoded sequence after receiving the to-be-decoded sequence; performing checking when decoding a scrambled bit; and terminating the decoding process if the check fails. In this way, a signal that does not belong to the sending device is eliminated in advance, to shorten a decoding latency, and accelerate detection.