MIMO Port Mapping for Data Stream Quality Stabilization
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Solution Overview
Problem
In MIMO systems, the accuracy of data processing by UE is low due to inaccurate code word identification caused by excessive channel quality differences between data streams, leading to errors in subsequent code word processing, as network nodes cannot learn the channel quality of individual data streams.
Innovation Solution
Obtain stream channel quality information and adjust port mapping to distribute data streams with similar channel quality in the same code word, stabilizing channel quality differences and improving the accuracy of code word quality estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data streams are transmitted through multiple transmit antennas in MIMO system to increase data throughput, then data transmission capacity is improved, but channel quality difference between streams becomes excessive leading to inaccurate code word identification
Solution Approach 1:
The network node performs preliminary sorting of data streams based on channel quality before code word assignment. By pre-arranging streams in ascending order of channel quality and systematically assigning them to code words, the system proactively prevents excessive quality differences within code words, ensuring accurate identification from the outset
Solution Approach 2:
The system dynamically adjusts the mapping relationship between data streams and code words based on channel quality parameters. By changing the assignment parameters according to real-time channel conditions, the system maintains optimal quality distribution across code words, preventing identification errors
2Productivity
If network node transmits data through multiple antennas with separate code words, then data transmission efficiency is improved, but error propagation in subsequent code word processing increases due to identification errors
Solution Approach 1:
The network node performs preliminary quality-based sorting and systematic assignment of data streams to code words before transmission. This pre-arrangement ensures that each code word contains streams with comparable quality levels, preventing identification errors that would otherwise propagate through subsequent processing stages
Solution Approach 2:
The system implements feedback mechanisms where the network node receives acknowledgment from the receiver about code word processing status. When identification errors are detected, the feedback loop enables corrective retransmission or adjustment of stream assignments, preventing error propagation
Data Source
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AI summary
The present invention relates to the field of communications network technologies, and discloses a data processing method and apparatus, so as to resolve a problem that accuracy of received data processed by UE is relatively low. In embodiments of the present invention, stream channel quality information is obtained, and then port mapping of a to-be-transmitted data stream is determined according to the stream channel quality information. The port mapping is used to make channel quality of data streams distributed in a same code word satisfy the following: a sum of fluctuation values that is used to represent channel quality of data streams in all code words is less than a sum of fluctuation values that is used to represent channel quality of data streams in all code words under original port mapping. Solutions provided in the embodiments of the present invention are applicable to data processing.