5G Uplink Waveform Adaptation Through Code Block Segmentation
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Solution Overview
Problem
Existing 5G communication systems face challenges in efficiently scheduling uplink signal transmissions for terminals, particularly in determining the size of code blocks and optimizing waveforms for data transmission, which affects data rate, coverage, and reliability.
Innovation Solution
A method for terminals and base stations to determine a maximum code block size based on transport block size and modulation and coding scheme (MCS) information, segmenting the transport block into multiple code blocks, and autonomously selecting or configuring waveforms for uplink transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the transport block is segmented into multiple code blocks based on maximum code block size, then the reliability of data transmission is improved, but the device complexity increases
Solution Approach 1:
The transport block is divided into multiple code blocks based on the maximum code block size determined from the transport block size and MCS information. This segmentation enables parallel processing of smaller code blocks, improving transmission reliability through better error correction while managing complexity through systematic division of the data processing task.
2Adaptability or versatility
If autonomous waveform selection is implemented at the terminal, then the adaptability to channel conditions is improved, but the device complexity increases
Solution Approach 1:
The terminal autonomously determines the waveform to be used for uplink signal transmission based on received configuration information and current channel conditions, without requiring real-time network control. This self-service approach enables adaptive waveform selection that responds to changing channel conditions while reducing signaling overhead and network processing requirements.
3Productivity
If code block size is optimized based on transport block size and MCS information, then the productivity of data transmission is improved, but the measurement precision requirements increase
Solution Approach 1:
The maximum code block size is determined as a function of the transport block size and MCS information, allowing the system to adapt code block segmentation to current channel conditions and modulation requirements. This parameter-based optimization improves transmission efficiency by matching code block sizes to actual channel capacity and modulation scheme characteristics.
Data Source
AI summary
The present disclosure relates to a communication technique for fusing, with an IoT technology, a 5G communication system for supporting a higher data transfer rate than a 4G system, and a system therefor. The present disclosure may be applied to intelligent services, such as smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail businesses, security and safety-related services, on the basis of 5G communication technologies and IoT-related technologies. Disclosed is a setting method for an efficient uplink signal transmission of a terminal in a case where a plurality of waveforms are supported to efficiently operate an uplink in a next generation mobile communication.