Statistical Channel State Information Reporting for URLLC
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Solution Overview
Problem
Current Channel State Information (CSI) reporting in New Radio (NR) wireless communication networks faces challenges in accurately predicting SINR at transmission time due to time-restricted measurements, which can lead to suboptimal modulation and coding scheme selections, especially in Ultra-Reliable Low Latency Communications (URLLC) where high reliability and low latency are critical.
Innovation Solution
The method involves configuring user equipment (UE) to perform periodic channel and interference measurements within specific time intervals, determining statistical measures such as mean, variance, and percentiles of CQI values, and transmitting these as CSI reports to network nodes, enabling better prediction of SINR and improving spectral efficiency by filtering out unpredictable channel and interference variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If time-restricted measurements are used for CSI reporting, then measurement complexity is reduced, but SINR prediction accuracy deteriorates
Solution Approach 1:
The system performs multiple channel and interference measurements in advance within a time interval before the actual transmission time. These preliminary measurements are stored and later combined to predict SINR at transmission time, avoiding the need for complex real-time measurements while improving prediction accuracy over single momentary measurements
Solution Approach 2:
The system dynamically adjusts the measurement approach by filtering out unpredictable channel and interference variations from the multiple measurements. This allows the system to adapt to changing channel conditions while maintaining computational efficiency through statistical processing rather than exhaustive real-time analysis
2Loss of time
If momentary CSI measurements are reported, then reporting delay is reduced, but transmission reliability deteriorates
Solution Approach 1:
Multiple channel and interference measurements are performed in advance within a configured time interval, creating a set of preliminary measurement results. These are then processed using statistical methods (mean, variance, percentiles) to predict SINR at transmission time, providing reliable predictions without requiring measurements to be taken at the exact transmission moment
Solution Approach 2:
The system uses statistical measures from multiple measurements to create a more robust SINR prediction that accounts for channel variations. This feedback mechanism allows the system to compensate for the delay between measurement and transmission by incorporating variability information, thereby maintaining transmission reliability
3Measurement precision
If multiple interference measurements are performed, then SINR prediction accuracy is improved, but measurement overhead increases
Solution Approach 1:
The system performs a limited number of measurements within a configured time interval - enough to capture channel variations and enable statistical processing, but not excessive measurements that would create unnecessary overhead. The measurement period and number are optimized to achieve sufficient accuracy while controlling resource consumption
Solution Approach 2:
The system dynamically processes multiple measurements by filtering out unpredictable variations through statistical methods. This allows efficient use of measurement resources by focusing computational effort on extracting meaningful SINR prediction information from the measurements rather than processing every measurement detail
Data Source
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AI summary
A method of operating a user equipment, UE, according to some embodiments includes performing (202) a channel measurement on a measurement resource for channel measurement, performing (204) two or more interference measurements on two or more measurement resources for interference measurement, for each interference measurement, determining (206) quality values associated with the interference measurement and the channel measurement, determining (208) a statistical measure based on the quality values, and transmitting (210) the statistical measure to a network node in a channel state information, CSI, report.