AI-Based CSI Reporting Priorities for Wireless Signal Transmission
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently performing wireless signal transmission and reception procedures.
Innovation Solution
A method and apparatus that utilize an artificial intelligence/machine learning (AI/ML) model for predicting channel state information (CSI) values at multiple time points, assigning priorities based on accuracy and time, and selectively reporting CSI values based on these priorities to enhance transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If CSI values are reported for all predicted time points, then the channel state information coverage is improved, but the signaling overhead and processing complexity increase
Solution Approach 1:
The patent extracts only the necessary CSI values from the set of predicted CSI values based on priority criteria. The UE determines which CSI values to report by evaluating priorities assigned to different time points and selecting only those that meet reporting criteria, thereby reducing the volume of reported information while maintaining essential channel state coverage.
Solution Approach 2:
The patent applies different quality levels to different CSI values by assigning priorities to time points. Not all CSI values are treated equally; instead, the system selectively reports high-priority CSI values that are most relevant for current communication conditions, optimizing the quality of reported information rather than uniformly reporting all predictions.
2Measurement precision
If all predicted CSI values are transmitted, then the accuracy of channel state information is improved, but the transmission overhead increases
Solution Approach 1:
The system extracts and transmits only the essential CSI values from the complete set of predictions. By filtering based on priority assignments and reporting criteria, the UE transmits a reduced subset of CSI values that maintains accuracy for critical time points while significantly reducing the quantity of transmitted data.
Solution Approach 2:
Instead of transmitting all predicted CSI values (excessive action), the system transmits only the necessary portion (partial action) that meets priority-based selection criteria. This partial transmission approach maintains sufficient accuracy for current communication needs without the overhead of complete transmission.
3Loss of information
If CSI values with lower priority are included in the report, then the completeness of information is improved, but the efficiency of resource allocation decreases
Solution Approach 1:
The system extracts and prioritizes the most valuable CSI information for reporting. By removing low-priority CSI values from the report based on assigned priorities and selection criteria, the system maintains completeness of essential information while improving resource allocation efficiency through reduced processing and transmission requirements.
4Loss of information
If the UE reports CSI values for multiple time points, then the temporal coverage of channel state information is improved, but the processing load increases
Solution Approach 1:
The UE extracts and reports CSI values for multiple time points selectively based on priority assignments. By filtering the set of predicted CSI values according to priority criteria and reporting only those that meet temporal coverage requirements, the system maintains comprehensive temporal coverage while reducing the processing load compared to reporting all predicted values.
Data Source
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AI summary
A method by which a user equipment reports CSI in a wireless communication system, according to at least one of embodiments disclosed in the present specification, comprises: receiving a CSI report configuration including information about at least one time window related to CSI prediction; obtaining CSI values predicted for a plurality of time points in the at least one time window on the basis of an AI/ML model; and transmitting a CSI report on the basis of priorities of the obtained CSI values, wherein, on the basis that the CSI values include a first CSI value predicted for a first time point and a second CSI value predicted for a second time point, the first time point and the second time point both belong to a first time window, and the first time point and the second time point are different from each other, a priority of the first CSI value and a priority of the second CSI value may be different from each other.