Terminal Device Local Data Analysis for 5G Privacy and Accuracy
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Solution Overview
Problem
The 5G mobile communication technology's Network Data Analytics Function (NWDAF) lacks consideration for big data analysis and intelligent data analysis by terminal devices, leading to low accuracy of analysis results due to insufficient data and potential privacy leaks.
Innovation Solution
A wireless communication method that allows terminal devices to perform local data analysis and share analysis results, using data analysis identifiers to request and send analysis results directly, thereby improving data sharing and privacy protection while reducing the workload on core network devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If NWDAF collects data only from network side for analysis, then data privacy is protected, but analysis accuracy deteriorates due to insufficient data
Solution Approach 1:
The patent extracts the data analysis function from the network side (NWDAF) and relocates it to the terminal device side. Terminal devices perform local data analysis using their own data, generating analysis results that are then shared with the network. This extraction resolves the contradiction by enabling access to terminal data without requiring the network to directly collect and process sensitive raw data, thereby improving analysis accuracy while maintaining privacy protection.
Solution Approach 2:
The patent introduces analysis results as an intermediary between terminal device data and network analysis needs. Instead of the network directly accessing terminal device data, the terminal device processes its data locally and shares only the analysis results with the network. This intermediary mechanism allows the network to benefit from terminal data for improved analysis accuracy while the terminal device maintains control over its data and protects user privacy.
2Measurement precision
If terminal devices perform local data analysis, then data sharing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the data analysis function into independent modules that can be selectively executed on terminal devices. Rather than requiring full-scale data processing capabilities on every terminal, the analysis function is divided into manageable components that can be implemented based on device capabilities and specific analysis needs. This segmentation reduces the complexity burden on individual terminal devices while still enabling accurate local data analysis.
3Productivity
If NWDAF relies solely on network side data, then device complexity is reduced, but analysis productivity deteriorates
Solution Approach 1:
The patent segments the overall data analysis task between terminal devices and the network. Terminal devices handle local data processing and generate analysis results, while the network (NWDAF) focuses on collecting and utilizing these results for broader network analysis. This segmentation improves analysis productivity by enabling parallel processing across multiple terminals while reducing the complexity burden on network devices.
Data Source
AI summary
Provided are a wireless communication method and device. The method includes: receiving a first request message, wherein the first request message is used for requesting, from a terminal device, a first data analysis corresponding to a first data analysis identifier; and sending an analysis result of the first data analysis. By making full use of abundant data resources on a terminal device side, not only can data sharing on the terminal device side be realized, but also the accuracy of an analysis result can be improved, and the problem of a privacy leak caused by the sharing of original data of the terminal device can be prevented.