Adaptive Polar Encoding for Variable Codeword Lengths in 5G
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G networks, face challenges in efficiently performing polar encoding for massive machine-type communication (MTC) services, which require high connection density and low latency with limited data rates, and existing methods do not effectively optimize encoding performance for varying codeword lengths.
Innovation Solution
A method and apparatus for polar encoding that determines whether to use a polar encoder of size 2x or 2x+1 based on the codeword length, performing repetition or puncturing accordingly, and applies bit-reversal interleaving to enhance encoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed-size polar encoder is used, then the device complexity is reduced, but the encoding performance deteriorates for varying codeword lengths
Solution Approach 1:
The patent applies dynamics by making the encoder size adaptive rather than fixed. The system dynamically selects between different encoder sizes (2^x or 2^x+1) based on the actual codeword length requirements, allowing the encoding structure to adjust to varying data transmission needs while maintaining optimal performance across different scenarios
Solution Approach 2:
The patent changes the parameter of encoder size based on codeword length. By monitoring the codeword length and selecting appropriate encoder configurations (different sizes and structures), the system optimizes encoding performance for each specific transmission scenario rather than using a one-size-fits-all approach
2Adaptability or versatility
If polar encoding is optimized for high connection density, then the suitability for massive MTC services improves, but the encoding complexity increases
Solution Approach 1:
The patent segments the encoding process into multiple stages: determining codeword length, selecting appropriate encoder size, performing the encoding operation, and applying bit-reversal interleaving. This segmentation allows each component to be optimized independently, reducing overall complexity while maintaining adaptability for massive MTC services
Solution Approach 2:
The system dynamically adjusts encoding parameters including encoder size selection and bit-reversal interleaving application based on service requirements. This dynamic adaptation enables the system to handle high connection density scenarios in massive MTC while managing complexity through conditional optimization rather than universal complexity
Data Source
AI summary
A method for performing polar encoding includes the steps of, if a length of a codeword is greater than 2x and smaller than 2x+1, determining whether encoding is performed by a polar encoder of size 2x or a polar encoder of size 2x+1 according to whether or not a length of the codeword is smaller than a prescribed value, and if the length of the codeword is smaller than the prescribed value, performing encoding by the polar encoder of the size 2x.