Adaptive CSI Feedback with Dual Reference Signal Resources
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Solution Overview
Problem
Existing AI-based CSI feedback systems degrade in performance when the environment changes, such as moving from indoors to outdoors or from Urban Microcell to Urban Macrocell, as the trained network parameters become unsuitable.
Innovation Solution
A method involving the use of dual reference signal measurement resources to acquire and feed back both first and second CSI, allowing for adjustment of CSI acquisition based on the current environment, using either codebook-based or AI-network methods, ensuring accurate CSI feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI-based CSI feedback is used to improve feedback efficiency, then CSI feedback performance is improved in trained environments, but CSI accuracy degrades when environmental conditions change
Solution Approach 1:
The system dynamically switches between AI-based CSI feedback and codebook-based CSI feedback based on environmental conditions. When the environment changes (detected through reference signal measurements), the system transitions from AI-based feedback to codebook-based feedback to maintain accuracy, and switches back to AI-based feedback when the environment is stable to maintain efficiency.
Solution Approach 2:
The system changes the feedback method parameter based on environmental conditions. By monitoring reference signal measurements and comparing them against thresholds, the system adjusts the CSI feedback approach (AI-based or codebook-based) to optimize both efficiency and accuracy under different conditions.
2Measurement precision
If codebook-based CSI acquisition is used to ensure accuracy in changing environments, then CSI accuracy is maintained, but feedback efficiency decreases
Solution Approach 1:
The system dynamically selects between codebook-based and AI-based feedback methods. Codebook-based feedback is used when environmental changes are detected (ensuring accuracy), while AI-based feedback is used during stable conditions (improving efficiency), creating a dynamic adaptation strategy.
Solution Approach 2:
The CSI feedback process is segmented into different modes: AI-based feedback for stable environments and codebook-based feedback for changing environments. This segmentation allows each method to be applied where it is most effective, optimizing overall system performance.
3Measurement precision
If dual reference signal measurement resources are deployed to enable environmental adaptation, then CSI accuracy is maintained across environments, but system complexity increases
Solution Approach 1:
The reference signal measurement resources serve multiple functions: they are used for both channel quality measurement and environmental change detection. This multi-functionality allows the system to maintain accuracy across environments without adding separate detection mechanisms, thereby limiting the increase in complexity.
Data Source
AI summary
Provided are a channel state information processing method and apparatus, a communication node, and a storage medium. The CSI processing method includes receiving a first reference signal measurement resource and a second reference signal measurement resource; acquiring first CSI according to the first reference signal measurement resource and acquiring second CSI according to the second reference signal measurement resource; and feeding back the first CSI and the second CSI.