AI-Based CSI Reporting Configuration for Accurate Channel Recovery
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Solution Overview
Problem
Existing CSI reporting scenarios with AI/ML models require further research to improve the accuracy and efficiency of channel state information decoding and recovery.
Innovation Solution
A communication method involving a terminal device and network device that configures a correspondence between input information of a CSI compression encoding model and CSI reporting information, using AI/ML models to enhance the decoding and recovery process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI/ML models are introduced into CSI reporting scenarios, then the accuracy and efficiency of channel state information decoding and recovery can be improved, but the device complexity and research requirements increase
Solution Approach 1:
The patent introduces configuration information as an intermediary element that bridges the terminal device and network device. This configuration information contains correspondence relationships between input information of the CSI compression encoding model and CSI reporting information, enabling the AI/ML model to function properly without directly increasing device complexity. The intermediary configuration allows accurate CSI decoding while maintaining manageable system complexity through standardized information exchange protocols.
2Productivity
If CSI compression encoding models are used, then the efficiency of CSI reporting can be improved, but the loss of information may increase during compression and de-compression
Solution Approach 1:
The patent implements a feedback mechanism where the network device receives configuration information from the terminal device about the CSI compression encoding model parameters. This feedback loop allows the network device to adjust its de-compression process accordingly, ensuring that the CSI information is accurately recovered without significant loss. The feedback mechanism enables the system to optimize the compression ratio while maintaining information integrity through coordinated compression and de-compression operations.
Data Source
AI summary
A communication method is performed by a terminal device and includes: receiving first configuration information from a network device, wherein the first configuration information is configured to indicate a correspondence between input information of a channel state information (CSI) compression encoding model and CSI reporting information.