Selective HARQ Retransmission for 5G Data Erasure
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Solution Overview
Problem
In wireless communication systems, when a decoding error occurs in a transport block, the entire block is retransmitted, leading to a waste of radio resources, increased decoding complexity, and transmission delay, particularly in scenarios requiring ultra-high peak rates like 5G's enhanced mobile broadband (eMBB).
Innovation Solution
A data processing method where a second node determines data erasure by checking SINR, interference and noise power thresholds, and sends feedback information including the erasure rate and position to the first node, which then retransmits only the affected data resources rather than the entire transport block, allowing for targeted retransmission and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire transport block is retransmitted when a decoding error occurs, then system reliability is maintained, but radio resources are wasted and transmission delay increases
Solution Approach 1:
The transport block is segmented into multiple code blocks, and only the failed code blocks are identified and retransmitted through selective HARQ, rather than retransmitting the entire transport block. This segmentation enables targeted retransmission of only the necessary portions, reducing radio resource waste while maintaining reliability.
Solution Approach 2:
The patent applies different treatment to different parts of the transport block based on their decoding status. Successful code blocks are not retransmitted, while failed code blocks are identified and retransmitted selectively. This local quality approach ensures that resources are allocated efficiently based on the actual needs of each code block.
2Reliability
If the entire transport block is retransmitted when a decoding error occurs, then system reliability is maintained, but transmission delay increases
Solution Approach 1:
By segmenting the transport block into code blocks and implementing selective retransmission of only failed blocks, the patent reduces the time required for retransmission compared to retransmitting the entire transport block. This segmentation strategy directly addresses the transmission delay issue while preserving reliability.
Solution Approach 2:
The patent performs preliminary decoding of code blocks and identifies failed blocks before initiating retransmission. This preliminary action allows the system to prepare targeted retransmission strategies in advance, reducing overall transmission delay by avoiding unnecessary retransmission of successfully decoded blocks.
3Measurement precision
If the entire transport block is retransmitted when a decoding error occurs, then decoding accuracy is maintained, but decoding complexity increases
Solution Approach 1:
The patent divides the transport block into multiple code blocks that can be decoded and evaluated independently. This segmentation reduces decoding complexity by allowing the receiver to identify and request retransmission of only failed code blocks, rather than processing the entire transport block again, thereby maintaining decoding accuracy with reduced computational burden.
Solution Approach 2:
The patent applies different decoding operations to different code blocks based on their individual decoding status. Successfully decoded blocks require no further processing, while failed blocks are identified and retransmitted. This local quality approach optimizes decoding complexity by focusing computational resources only where needed.
Data Source
AI summary
Provided are a data processing method, device and node. The method includes: a second node determines that a first data sent from a first node exhibits data erasure; the second node sends feedback information to the first node, where the feedback information includes one of the following: an erasure rate, an erasure rate and an erasure position, the erasure rate is a proportion of resources that exhibit data erasure in resources corresponding to the first data, and the erasure position is a position of the resources that exhibit data erasure in the resources corresponding to the first data; the second node receiving a second data as determined according to the feedback information by the first node; the second node performs decoding according to the first item of data and the second data.