CSI Compression Encoder Using Differential Convolution Steps
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Solution Overview
Problem
Massive multiple-input multiple-output (m-MIMO) antenna systems require accurate channel state information (CSI) for efficient operation, but existing methods face challenges in effectively compressing and encoding CSI data while maintaining accuracy and reducing complexity.
Innovation Solution
The proposed solution involves an encoding method for CSI performed by user equipment (UE) using a first target CSI compression encoder, which includes N composite convolution layers and one fully-connected layer. Each composite convolution layer has a delay-domain convolution step smaller than the angle-domain convolution step, allowing for differential compression based on correlation strengths in the delay and angle domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If CSI compression encoding is performed using conventional methods, then the complexity of CSI feedback is reduced, but the compression performance and accuracy of CSI data deteriorate
Solution Approach 1:
The patent changes the parameter of convolution step size in different domains. Specifically, it uses a first convolution step size in the delay domain and a second convolution step size in the angle domain, where the ratio between them matches the ratio of correlation strengths. This parameter adjustment enables differential compression that adapts to the correlation characteristics of each domain, improving compression performance while maintaining CSI accuracy.
Solution Approach 2:
The patent applies local quality by treating the delay domain and angle domain differently based on their distinct correlation properties. It performs compression encoding with different convolution step sizes tailored to each domain's characteristics - using larger steps in high-correlation dimensions and smaller steps in low-correlation dimensions. This localized approach optimizes compression for each specific domain while preserving overall CSI accuracy.
2Ease of manufacture
If uniform compression is applied to all CSI dimensions, then the encoding process is simplified, but the compression efficiency deteriorates due to ignoring differential correlation strengths
Solution Approach 1:
The patent introduces different convolution step size parameters for different domains based on their correlation strengths. By setting the ratio of first to second convolution step sizes equal to the ratio of delay domain to angle domain correlation strengths, the method achieves adaptive compression that improves efficiency while maintaining reasonable encoding complexity through a systematic parameter relationship.
Data Source
AI summary
An encoding method for channel state information (CSI), performed by a user equipment (UE), includes: encoding, based on a first target CSI compression encoder, a target CSI matrix in a delay domain and an angle domain, to generate a compressed encoded value, in which the first target CSI compression encoder includes N composite convolution layers and one fully-connected layer, each composite convolution layer includes a delay-domain convolution step and an angle-domain convolution step, and the delay-domain convolution step of the first composite convolution layer in the N composite convolution layers is smaller than the angle-domain convolution step of the first composite convolution layer in the N composite convolution layers, where N is a positive integer.