Policy Control Function Using Network Data Analytics for 5G QoS
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Solution Overview
Problem
In 5G mobile communication systems, the existing ATSSS function does not effectively consider real-time UE and network states, leading to service quality deterioration due to the lack of reflection in communication service policies, resulting in potential service disruptions.
Innovation Solution
A method and device that utilize network data analytics to determine policy control and charging rules based on UE and network state information, employing deep learning models to optimize data traffic transmission paths and quality of service for each access type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing ATSSS function is used without real-time state consideration, then device complexity is reduced, but service quality deteriorates
Solution Approach 1:
The patent introduces a network data analytics function (NWDAF) as an intermediary between the policy control function and the access traffic steering switching and splitting (ATSSS) mechanism. The NWDAF collects and analyzes real-time UE and network state information, then provides analytics data to the policy control function, enabling quality-of-service-aware traffic steering without requiring the policy control function to directly implement complex state monitoring and analysis capabilities.
Solution Approach 2:
The patent replaces the traditional mechanical approach of direct state monitoring and manual policy adjustment with an automated data analytics system. The NWDAF continuously collects, processes, and analyzes network state data using automated algorithms, substituting manual or simple reactive policy control with intelligent, data-driven policy decision-making that adapts to real-time conditions.
2Reliability
If real-time state information is collected and analyzed, then service quality is improved, but use of energy increases
Solution Approach 1:
The NWDAF is designed as a multi-functional network element that serves multiple purposes: it collects state information for quality-of-service optimization, provides analytics data for policy control, supports multiple access types (3GPP and non-3GPP), and enables various traffic steering strategies. This universal analytics function consolidates multiple specialized functions into a single system, reducing overall energy consumption compared to having separate monitoring and control mechanisms distributed across multiple network elements.
3Reliability
If data analytics function is introduced for policy determination, then service quality is improved, but device complexity increases
Solution Approach 1:
The patent segments the network data analytics function into distinct operational components: data collection from multiple sources, data processing and analysis, analytics data generation, and interaction with policy control functions. This segmentation allows each component to be optimized independently and enables modular deployment where the analytics function can be implemented as a separate network element rather than integrating complexity into existing policy control or access management functions.
Data Source
AI summary
The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method by which a first entity performs a policy control function (PCF) in a wireless communication system, according to one embodiment of the present disclosure, comprises the steps of: sensing the need for determination of a policy control function with respect to the first entity; transmitting a data analysis information request message for determination of the policy control function to a second entity performing a network data analytics function (NWDAF) on the basis of the sensing result; receiving data analysis information from the second entity; and determining the policy control function on the basis of the data analysis information, wherein the data analysis information is determined on the basis of a data access type.