Polar Code Decoding with Reference-Guided Candidate Selection
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Solution Overview
Problem
Hyper critical communication networks in smart factories face challenges due to electromagnetic interference from machinery, leading to frequent data transmission interruptions and reduced system throughput, which existing Polar code decoding methods, particularly in 5G NR, are inadequate in addressing.
Innovation Solution
Implementing an enhanced Decision Feedback Successive Cancellation List (DF-SCL) decoding scheme for Polar codes, reducing reliance on CRC bits by using a hard decision algorithm and path metrics to determine candidate sequences, followed by a cycle redundancy check for error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional Polar code decoding methods are used in 5G NR, then the system can maintain standard compatibility and basic functionality, but the system throughput is reduced and communication reliability is insufficient due to electromagnetic interference from industrial machinery
Solution Approach 1:
The patent applies preliminary action by performing hard decisions on received signal sequences before the main decoding process to generate preliminary candidate sequences. This preliminary processing step prepares the data in advance for more effective subsequent decoding operations, improving both reliability and throughput in electromagnetic interference environments
Solution Approach 2:
The patent implements feedback mechanisms by using cycle redundancy check (CRC) to verify candidate sequences and feed back verification results to guide further decoding operations. This feedback loop ensures that only reliable sequences are selected, thereby improving communication reliability while maintaining efficient throughput
2Reliability
If existing Polar code decoding methods are used, then the decoding process is simple and fast, but the block error rate is high due to strong interference from welding equipment and high-power appliances
Solution Approach 1:
The patent applies segmentation by dividing the decoding process into distinct stages: generating candidate sequences through hard decisions, verifying sequences using CRC checks, and selecting final decoded sequences. This segmentation allows each stage to be optimized independently, improving block error rate while keeping overall complexity manageable
Solution Approach 2:
The patent introduces an intermediary mechanism by using CRC verification as a mediator between the decoding process and final output. This intermediary step filters out erroneous sequences before they are accepted, significantly reducing block error rates without requiring complete redesign of the decoding architecture
3Reliability
If conventional decoding approaches are used, then the implementation is straightforward and computationally efficient, but the system cannot handle frequent interruptions caused by burst interference from switching high-voltage appliances
Solution Approach 1:
The patent performs preliminary hard decisions and candidate sequence generation before main decoding, preparing data in advance to handle burst interference more effectively. This preliminary action reduces the computational burden during critical decoding phases, improving interference resistance while managing energy consumption
Solution Approach 2:
The patent uses CRC feedback verification to detect and correct errors introduced by burst interference. This feedback mechanism ensures that even when burst interference occurs, the system can identify and correct errors, improving reliability without requiring excessive computational energy
Data Source
AI summary
Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of enhanced decoding for polarization code. The method includes determining a likelihood sequence associated with a signal sequence received from a second device via a communication channel between the second device and the first device; generating a set of candidate sequences of the signal by processing the likelihood sequence with a first operation; determining a reference sequence by processing the likelihood sequence with a second operation different from the first operation; and determining a target sequence of the signal from the set of candidate sequences at least partially based on the reference sequence. In this way, the decoding at receiver side can be enhanced to less rely on CRC during decoding. This could dramatically improve the overall performance of the channel.