Communication Node SNR Feedback for NTN Channel State Prediction
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Solution Overview
Problem
In radio communication technologies like LTE and NR, the existing closed-loop Adaptive Modulation and Coding (AMC) mode faces challenges with poor timeliness of Channel Quality Indication (CQI) feedback in high latency scenarios, leading to suboptimal MCS scheduling and increased signaling overheads, particularly in Non-Terrestrial Networks (NTN) where communication distances are longer and CQI report delays are significant.
Innovation Solution
The proposed solution involves a communication node that directly feeds back signal-to-noise ratio (SNR) and SNR change rate instead of CQI levels, allowing the receiving node to predict the SNR at scheduling time and select an appropriate MCS, thereby improving the matching degree between MCS and channel state while reducing signaling overheads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a smaller feedback period is configured to achieve a higher matching degree between MCS and channel state, then the matching degree is improved, but signaling overhead increases
Solution Approach 1:
The patent extracts only the essential channel state parameters (SNR and SNR change rate) from the complete CSI feedback, transmitting only these critical elements instead of full CQI reports. This selective extraction maintains matching accuracy while significantly reducing the quantity of feedback signaling required.
Solution Approach 2:
The patent changes the feedback parameter from discrete CQI levels to continuous SNR values with SNR change rates. This parameter transformation enables more precise channel state representation and improves MCS matching degree while the compact parameter format reduces signaling overhead compared to traditional CQI feedback mechanisms.
2Loss of information
If CQI feedback is used in high latency scenarios, then channel state information is obtained, but timeliness of feedback deteriorates
Solution Approach 1:
The patent performs preliminary measurement of SNR and SNR change rate at the UE side, preparing this critical information in advance before scheduling decisions are made. By having the SNR data ready beforehand and using the change rate to predict future channel conditions, the system compensates for feedback delays inherent in high latency scenarios, maintaining timeliness of MCS selection.
Solution Approach 2:
The patent implements a feedback mechanism where the SNR change rate is used to predict future channel conditions. This predictive feedback approach allows the network to anticipate channel state changes and adjust MCS accordingly, effectively combating the timeliness issues in high latency environments by looking ahead rather than merely reacting to past measurements.
Data Source
AI summary
Disclosed are an information feedback method and apparatus, and a communication node and a non-transitory computer-readable storage medium. The information feedback method may include: receiving a downlink data transmission instruction sent by a second communication node; and triggering, according to the downlink data transmission instruction, the first communication node to feed back demodulation capability information and channel state information (CSI) to the second communication node; the CSI may include: a signal-to-noise ratio (SNR) and an SNR change rate of a received signal.