CSI Reporting with AI Prediction for High Mobility Latency
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Solution Overview
Problem
Closed-loop link adaptation methods in wireless communication systems face challenges due to latency between channel measurements and data transmission, particularly in high mobility scenarios where channel state changes significantly, leading to reduced performance gains.
Innovation Solution
A method and apparatus for reporting and receiving channel state information (CSI) that involves receiving reference signals, obtaining CSI measurements, and transmitting CSI at a configured time to indicate a channel state later than the measurement time, utilizing AI/ML for prediction to mitigate latency effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CSI is reported at the current time based on current channel measurements, then the reporting is timely, but the CSI becomes outdated by the time it is used for downlink transmission, leading to performance degradation
Solution Approach 1:
The terminal equipment performs channel state prediction in advance to estimate future channel conditions. Instead of reporting current channel measurements that will be outdated by transmission time, the system predicts and reports future channel states, ensuring CSI accuracy at the time of downlink transmission.
Solution Approach 2:
The system transitions from static channel measurement reporting to dynamic channel state prediction. By using prediction algorithms that adapt to channel variations, the system maintains accurate CSI despite time delays, making the reporting mechanism responsive to changing channel conditions.
2Measurement precision
If AI/ML prediction is used to forecast future channel states, then CSI accuracy for future transmission is improved, but the complexity of the terminal equipment increases
Solution Approach 1:
The patent introduces an AI/ML-based prediction module as an intermediary between channel measurement and CSI reporting. This module processes raw channel measurements and generates predicted CSI values, acting as a mediator that transforms simple measurements into accurate future channel state predictions without requiring complete system redesign.
Solution Approach 2:
The system changes the parameter being reported from current channel measurements to predicted future channel states. By transforming the temporal parameter (reporting future states instead of current states), the system achieves higher accuracy without proportionally increasing complexity, as the prediction builds upon existing measurement infrastructure.
Data Source
AI summary
An apparatus for reporting channel state information (CSI) includes: a first receiver configured to receive one or more reference signals to obtain measurement information; first processor circuitry configured to obtain CSI according to the measurement information; and a first transmitter configured to transmit the CSI at a first time according to CSI report configuration, wherein the CSI at least indicates a channel state of a second time which is later than the first time.