L1 Measurement Prediction via Model Parameter Extraction
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently reporting Layer 1 (L1) measurement predictions, leading to suboptimal resource utilization and increased latency.
Innovation Solution
A method and apparatus for wireless communication that involve receiving configuration information with rules for transmitting model parameter information associated with a model for predicting L1 measurements, or a combination of this information and L1 measurement reports, and subsequently transmitting this information based on the received rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional L1 measurement reporting methods are used, then measurement accuracy is maintained, but signaling overhead increases and resource utilization becomes suboptimal
Solution Approach 1:
The patent extracts and transmits only the essential model parameter information (such as slope and intercept values) rather than complete measurement datasets, reducing signaling overhead while maintaining predictive capability for L1 measurements
Solution Approach 2:
The system performs preliminary measurements and fits a model curve before actual communication occurs, storing model parameters in advance that can be quickly applied during data transmission to predict L1 measurements without requiring continuous detailed reporting
2Measurement precision
If detailed L1 measurement reports are transmitted continuously, then measurement precision is maintained, but latency increases
Solution Approach 1:
The system performs preliminary curve fitting and stores model parameters in advance, enabling rapid prediction of L1 measurements during actual communication without requiring continuous detailed measurement reporting, thus reducing latency while maintaining precision
Solution Approach 2:
Instead of transmitting raw measurement data continuously, the system transmits compressed model parameter representations (slope, intercept) that serve as copies or summaries of the measurement characteristics, enabling quick reconstruction of measurement predictions without the time delay of continuous raw data transmission
3Device complexity
If model parameter information is transmitted instead of complete measurement data, then signaling overhead is reduced, but the complexity of processing and interpreting the parameters increases
Solution Approach 1:
The patent transforms complex measurement data into simplified linear model parameters (slope and intercept) that are easier to process and transmit, reducing signaling overhead while maintaining the essential predictive information through mathematical transformation rather than direct data transmission
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information that includes a rule for transmitting model parameter information associated with a model for predicting a Layer 1 (L1) measurement or for transmitting a combination of the model parameter information and an L1 measurement report. The UE may transmit the model parameter information or the combination based at least in part on the rule. Numerous other aspects are described.