CSI Feedback Encoding for Accurate Large-Scale MIMO Recovery
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Solution Overview
Problem
Existing wireless communication systems lack effective methods for a terminal device to generate and a network device to accurately restore Channel State Information (CSI), leading to inaccuracies in channel state representation, especially with the introduction of large-scale MIMO, which limits system throughput.
Innovation Solution
A method involving a terminal device determining and generating channel state indication information based on first parameters and types, using neural network models for accurate CSI feedback, and a network device decoding this information to recover CSI with minimal error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional CSI feedback methods are used, then the system implementation is simple, but the CSI recovery accuracy is poor leading to limited system throughput
Solution Approach 1:
The patent introduces channel state indication information as an intermediary between the terminal device and network device. This intermediary carries first parameters that enable the network device to accurately determine CSI types and recover channel state information, thereby improving CSI recovery accuracy while maintaining manageable system complexity through a structured information transmission mechanism
Solution Approach 2:
The patent implements a feedback mechanism where the terminal device generates channel state indication information containing first parameters and sends it to the network device. The network device uses this feedback to determine CSI types and recover accurate channel state information, creating a closed-loop system that continuously improves CSI accuracy through iterative optimization
2Reliability
If no CSI type indication is provided, then the signaling overhead is reduced, but the network device cannot accurately restore the channel state information
Solution Approach 1:
The patent segments channel state information into distinct types (first type, second type, third type) and uses channel state indication information to indicate which type is being transmitted. This segmentation allows the network device to accurately identify and restore the specific CSI type, preventing information loss while maintaining efficient signaling through structured categorization
Data Source
AI summary
Disclosed by the present disclosure is a channel state information processing method, including: a terminal device determines a first parameter and/or a channel state indication information type; and on the basis of the first parameter and/or the channel state indication information type, the terminal device generates channel state indication information, the channel state indication information being used by the terminal device to indicate channel state information to a network device. Further disclosed in the present disclosure are another channel state information processing method, an electronic device, and a storage medium.