Code Block Mapping in Time-Frequency Resources for Wireless Data Transmission
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Solution Overview
Problem
The increasing number of user equipment (UEs) and the demand for higher data transmission in wireless communication systems pose challenges in efficiently using limited radio resources, particularly in reducing latency and supporting new radio access technologies (NR) with efficient channel coding and data mapping schemes.
Innovation Solution
A method involving the mapping of code blocks into time-frequency resources, where each time symbol includes one or more code blocks, and using erasure codes for encoding and decoding to improve data transmission efficiency and reduce latency, applicable to both transmitting and receiving devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of user equipments (UEs) and data transmission demand increase, then communication capacity requirement increases, but radio resources become more limited and latency increases
Solution Approach 1:
The data transmission process is segmented into multiple code blocks that can be independently encoded and transmitted. Each code block is processed separately through channel coding and mapped to time-frequency resources, allowing parallel processing and reducing overall transmission latency while maintaining high communication capacity.
Solution Approach 2:
The patent transitions from traditional single-carrier transmission to multi-carrier frequency block transmission. By aggregating multiple frequency blocks and transmitting code blocks across different frequency dimensions simultaneously, the system achieves higher communication capacity without proportionally increasing latency.
2Productivity
If traditional channel coding and data mapping schemes are used, then system complexity is maintained, but data transmission efficiency and latency performance are insufficient for NR systems
Solution Approach 1:
The patent changes key parameters of the channel coding scheme by introducing erasure codes with specific code rates and modifying the data mapping pattern to distribute code blocks across multiple frequency blocks. These parameter changes improve data transmission efficiency and latency performance in NR systems while managing system complexity through standardized procedures.
Data Source
AI summary
The transmission apparatus maps a plurality of code blocks obtained from data to a time-frequency resource, and transmits the plurality of code blocks therefrom. The time-frequency resource comprises L number of time symbols in the time domain, where L is an integer greater than 1. Each of the L number of time symbols comprises one or more different code blocks from among the plurality of code blocks. The plurality of code blocks is mapped in the time-frequency resource so that one complete code block is one time symbol.