LDPC Base Graph Rate Matching for 5G Soft Buffer Optimization
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Solution Overview
Problem
Current wireless communication systems face challenges in maintaining high data throughput and reliability due to channel noise, fading, and inter-symbol interference, particularly in next-generation mobile communication systems like 5G, where efficient data transmission and soft buffer management are critical for effective rate matching and decoding performance.
Innovation Solution
The method involves configuring a low-density parity check (LDPC) code with a base graph structure that supports various input lengths and code rates, segmenting transport blocks into code blocks, and managing the soft buffer size to optimize rate matching and decoding performance, particularly in LTE and 5G systems, using techniques like lifting to design efficient parity check matrices and employing LDPC codes for data channel transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If LDPC codes with base graph structure are used to support various input lengths and code rates, then adaptability and versatility improve, but device complexity increases
Solution Approach 1:
The patent employs a universal base graph structure for LDPC codes that can accommodate multiple input lengths and code rates through a standardized framework. This base graph serves as a multi-functional foundation that can be adapted to different transmission requirements without requiring entirely separate code designs for each scenario.
Solution Approach 2:
The patent segments the overall code structure into base graphs that can be systematically combined and configured. By dividing the LDPC code into modular base graph units with specific properties, the system achieves flexibility in supporting various code rates and lengths while maintaining manageable complexity through structured composition.
2Reliability
If soft buffer size is increased to improve decoding performance, then reliability improves, but loss of substance increases due to larger memory requirements
Solution Approach 1:
The patent optimizes soft buffer utilization by dynamically adjusting parameters such as buffer allocation sizes, rate matching patterns, and decoding strategies based on channel conditions and traffic requirements. This parameter optimization enables achieving high decoding performance while minimizing the actual memory resources consumed, avoiding the need for excessively large fixed-size buffers.
3Productivity
If rate matching is optimized for high data throughput, then productivity improves, but reliability may deteriorate due to reduced redundancy
Solution Approach 1:
The patent implements dynamic rate matching that adapts to varying channel conditions and quality requirements. The system can adjust the code rate and redundancy level in real-time, allowing it to maximize throughput when channel conditions are good while maintaining sufficient error correction capability when conditions deteriorate, thus resolving the trade-off between productivity and reliability.
Solution Approach 2:
The patent applies different rate matching and redundancy strategies to different portions of the data stream or different code blocks based on their specific requirements. By allowing local optimization of quality versus throughput for different segments, the system achieves high overall throughput while maintaining reliability for critical data portions.
Data Source
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AI summary
The present disclosure relates to a communication technique for convergence of a 5G communication system for supporting a higher data transmission rate beyond a 4G system with an IoT technology, and a system therefor. The present disclosure may be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart or connected cars, health care, digital education, retail business, security and safety-related services, etc.) on the basis of a 5G communication technology and an IoT-related technology. The present disclosure relates to a method and an apparatus for performing rate matching and configuring a soft buffer in a wireless cellular communication system.