Wireless Measurement Data Set Filtering for Lower Reporting Overhead
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Solution Overview
Problem
Existing wireless communication systems face challenges in managing large reporting overheads and low transmission resource utilization due to the inclusion of invalid data in data sets reported by terminals, which are often caused by events like building obstruction or link failure.
Innovation Solution
A method and apparatus for screening out invalid data from captured data sets based on a preset rule, forming a data set with remaining valid data, thereby reducing reporting overhead and improving transmission resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all captured samples are included in the reported data set, then the data set completeness is improved, but the reporting overhead increases
Solution Approach 1:
The patent extracts only the valid samples from the captured N samples based on preset rules (such as signal quality thresholds, time validity, or importance criteria). This extraction process removes invalid data points while retaining essential information, thereby reducing reporting overhead without sacrificing data set completeness.
Solution Approach 2:
The patent applies different quality criteria to different samples within the data set. By evaluating each sample against preset rules and selecting only those that meet the quality standards, the system ensures that high-quality data is prioritized while reducing the overall data volume reported to the network.
2Quantity of substance
If all captured samples are transmitted, then the data volume is increased, but the transmission resource utilization decreases
Solution Approach 1:
The patent extracts only the essential valid samples from the complete set of captured data before transmission. By removing redundant and invalid samples through preset filtering rules, the system reduces the data volume that needs to be transmitted, thereby improving transmission resource utilization and network efficiency.
3Quantity of substance
If invalid data is included in the data set, then the data set size is maintained, but the communication efficiency deteriorates
Solution Approach 1:
The patent systematically extracts and removes invalid data from the data set using preset rules that identify problematic samples (such as those with poor signal quality, timing errors, or measurement failures). This extraction ensures that only valid, useful data remains in the transmitted data set, thereby maintaining data set size integrity while significantly improving communication efficiency.
Solution Approach 2:
The patent applies quality assessment at the individual sample level, evaluating each captured sample against predetermined validity criteria. This local quality control ensures that invalid data points are identified and excluded from the final data set, preventing communication efficiency deterioration while preserving the overall data set structure.
Data Source
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AI summary
The present invention provides a data set sending method, a data set receiving method, a device, and a storage medium. The data set sending method comprises: acquiring N samples on the basis of measurement of a reference signal resource set, N being a positive integer; on the basis of a preset rule, screening the N samples to obtain M samples for constituting a data set, M being a positive integer less than or equal to N; and sending the data set.