Polar Code Rate-Matching Using Unified Interleaver Buffer Operations
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Solution Overview
Problem
Current error-correcting codes for 5G communication systems fail to provide stable performance across various scenarios such as enhanced mobile broadband, ultra-reliable and low latency communication, and massive machine-type communications without increasing complexity, particularly in terms of memory usage.
Innovation Solution
A polar code rate-matching method that involves selecting a mother code, configuring an interleaver, and operating a circular buffer to achieve stable performance, simplifying system operations through unified interleaver and buffer operations regardless of puncturing, shortening, or repetition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional error-correcting codes are used in 5G communication systems, then data transmission can be performed, but stable performance across various scenarios (eMBB, URLLC, mMTC) cannot be achieved without increasing memory complexity
Solution Approach 1:
The codebook is divided into multiple codebook groups, each group containing multiple codebooks. This segmentation allows the system to select appropriate codebooks for different service scenarios (eMBB, URLLC, mMTC) without needing to store all possible codebooks, thereby reducing memory complexity while maintaining performance stability across diverse scenarios.
Solution Approach 2:
The codebook selection is made dynamically based on service type and channel conditions. The system can adaptively switch between different codebook groups and codebooks within groups according to real-time requirements, enabling stable performance across varying scenarios without requiring fixed large memory allocation for all possible codebooks.
2Reliability
If multiple codebooks are stored to support various service scenarios, then performance can be improved, but memory usage increases
Solution Approach 1:
The codebook is divided into multiple codebook groups, each group containing multiple codebooks. This segmentation allows the system to store codebooks in a structured manner and select only the necessary codebooks for current service scenarios, reducing overall memory usage while maintaining performance across different scenarios.
Solution Approach 2:
The codebook structure is designed to be universal, where codebook groups and codebooks within groups can serve multiple service scenarios (eMBB, URLLC, mMTC). This multi-functionality allows a single codebook structure to support various services, reducing the total number of codebooks needed and thus reducing memory usage.
3Reliability
If different rate-matching operations (puncturing, shortening, repetition) are implemented separately, then specific scenario performance can be optimized, but system complexity increases
Solution Approach 1:
Different rate-matching operations (puncturing, shortening, repetition) are merged into a unified codebook selection framework. By organizing codebooks into groups and using a standardized selection process based on service type and channel conditions, the system can handle multiple rate-matching operations through a single unified mechanism, reducing system complexity while maintaining scenario-specific performance optimization.
Solution Approach 2:
The codebook selection mechanism is designed to be universal, handling puncturing, shortening, and repetition operations through the same structured approach. This multi-functional design allows the system to optimize for different scenarios without implementing separate complex mechanisms for each operation, thereby reducing overall system complexity.
Data Source
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AI summary
A communication method and system for converging a 5th-generation (5G) communication system for supporting higher data rates beyond a 4th-generation (4G) system with a technology for internet of things (IoT) are provided. The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The method and apparatus for polar encoding and rate-matching are disclosed.