5G Network Self-Configuration via User Intent Mapping
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Solution Overview
Problem
There is a need to dynamically configure and reconfigure 5G networks based on data collected from user equipment (UE) to improve network performance and facilitate public safety responses, particularly in scenarios involving collective user behavior.
Innovation Solution
The method involves configuring user equipment (UE) to collect specific data, mapping this data to user intent, and using network data analytics to autonomously configure or reconfigure the 5G network, incorporating natural language processing and anonymization techniques to ensure privacy and optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network configuration is made dynamic based on UE data, then network performance is improved, but system complexity increases
Solution Approach 1:
The network performs self-configuration and self-optimization by automatically analyzing UE data and adjusting network parameters without manual intervention. The system monitors network conditions and user behavior patterns, then autonomously modifies configuration settings to optimize performance, reducing the need for complex manual management while improving reliability.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where UE data is continuously collected, analyzed, and used to adjust network configuration. Network performance metrics are monitored and fed back into the configuration system, enabling dynamic adaptation to changing conditions and maintaining optimal performance while managing complexity through automated feedback loops.
2Reliability
If UE data is collected for network optimization, then network performance is improved, but user privacy is compromised
Solution Approach 1:
The system extracts and processes only the necessary data elements from UE communications, separating useful network optimization information from sensitive personal data. By extracting specific network parameters and aggregate behavior patterns while excluding identifiable user information, the system achieves performance optimization without compromising privacy.
Solution Approach 2:
An anonymization layer acts as an intermediary between data collection and network configuration. This intermediate processing layer aggregates and analyzes data in a privacy-preserving manner, removing identifiable information while retaining useful patterns for optimization. The intermediary ensures that raw UE data never directly informs configuration decisions in a way that would expose user privacy.
3Adaptability or versatility
If network configuration is updated frequently based on real-time data, then adaptability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary data analysis and configuration pre-computation to reduce real-time processing requirements. Network parameters are pre-calculated and prepared in advance based on historical data patterns, allowing for faster configuration updates when needed. This preliminary processing eliminates time-consuming calculations during actual network adaptation events.
Solution Approach 2:
The system implements dynamic configuration updates that adapt the frequency and timing of reconfiguration based on network conditions. Rather than fixed intervals, the system adjusts update cadence dynamically - performing more frequent updates when network conditions change rapidly and reducing update frequency during stable periods, thereby optimizing both adaptability and processing time.
Data Source
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AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of controlling, preferably configuring and/or reconfiguring, a 5th generation (5G) network comprising a set of user equipment (UE) including a first UE is provided. The method includes configuring the set of UEs, for example the first UE, for collecting data therefrom, collecting the data from the set of UEs, mapping the collected data to a user intent, and controlling, preferably configuring and/or reconfiguring, the network based, at least in part, on the mapped user intent.