Segmented CSI Feedback with Variable Compression Multiples
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Solution Overview
Problem
Existing communication technologies face challenges in accurately acquiring channel state information (CSI) due to increasing complexity and the need for more efficient methods to reduce feedback overhead and improve performance in multi-antenna systems.
Innovation Solution
A feedback method for CSI that involves compressing channel state information with multiple compression multiples using an encoder, followed by decompression and combination using a decoder at the receiving end, to obtain accurate target CSI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel state information is transmitted without compression, then measurement precision is maintained, but feedback overhead increases
Solution Approach 1:
The patent segments the CSI feedback process into multiple groups with different compression multiples. Instead of compressing all CSI data uniformly, the system divides CSI into multiple groups and applies different compression levels to each group, allowing some groups to maintain higher precision while others provide broader coverage with lower overhead.
Solution Approach 2:
The patent changes the compression parameter (compression multiple) across different CSI groups. By varying the compression multiple for different groups of CSI data, the system optimizes the balance between feedback overhead and measurement precision dynamically, rather than using a fixed compression level for all data.
2Quantity of substance
If compression multiple is increased, then feedback overhead is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent segments CSI into multiple groups that can be compressed with different multiples. This segmentation allows the system to apply higher compression to less critical CSI groups while maintaining lower compression (higher precision) for more critical groups, thus reducing overall overhead without uniformly sacrificing accuracy.
Solution Approach 2:
Different groups of CSI data are assigned different compression multiples based on their importance or characteristics. This local quality approach ensures that critical CSI information maintains higher precision while less critical information undergoes more aggressive compression, optimizing the overall system performance.
3Device complexity
If single compression multiple is used, then device complexity is reduced, but adaptability deteriorates
Solution Approach 1:
The patent introduces dynamic adaptability by allowing the system to select different compression multiples for different CSI groups based on channel conditions, traffic requirements, or other parameters. This dynamic approach enables the encoder to adapt to varying conditions without requiring a completely different encoder structure for each scenario.
Solution Approach 2:
The encoder is designed with multi-functionality to support multiple compression multiples within a single device structure. Rather than requiring separate encoders for different compression levels, the universal encoder can operate with different compression multiples, reducing device complexity while maintaining adaptability.
Data Source
AI summary
Provided in the present disclosure is a feedback method for channel state information applied to a terminal, including: compressing first channel state information with M compression multiples by an encoder, to obtain M groups of second channel state information, where M is a positive integer and not less than 2; and feeding back the M groups of second channel state information. Further provided in the present disclosure are an acquisition method for channel state information, a method for joint training of an encoder and a decoder, a terminal, a base station, an electronic device, and a computer-readable medium.