NWDAF QoS Flow Analytics for Adaptive 5G Policy Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing Quality of Service (QoS) for diverse services and devices, particularly in the context of 5G and beyond, due to increasing complexity and the need for enhanced network management and optimization.
Innovation Solution
A policy control function (PCF) entity requests and receives analytics from a Network Data Analytics Function (NWDAF) entity to determine or modify QoS policies based on QoS parameter sets, including 5G QoS identifiers, guaranteed and maximum flow bit rates, and quality of experience, to optimize service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional QoS management methods are used in 5G systems, then basic service delivery is maintained, but the system cannot efficiently handle the increasing complexity and diversity of services and devices
Solution Approach 1:
The patent introduces an intermediary entity (network controller or management system) that mediates between diverse services/devices and the QoS management mechanism. This intermediary aggregates service requirements, performs analytics, and translates diverse demands into standardized QoS parameter sets, thereby supporting service diversity without proportionally increasing overall system complexity.
Solution Approach 2:
The patent dynamically adjusts QoS parameters (such as bandwidth allocation, latency thresholds, priority levels) based on service type, device characteristics, and network conditions. By changing parameters adaptively rather than maintaining fixed configurations, the system achieves high adaptability to diverse services while managing complexity through parameterized control rather than structural complexity.
2Measurement precision
If QoS policies are manually configured for each service, then precise control is achieved, but the time and resources required for configuration increase significantly
Solution Approach 1:
The patent performs preliminary analytics and QoS parameter determination in advance of actual service delivery. The system pre-processes service requirements, pre-calculates appropriate QoS parameter sets, and prepares configuration templates before services are activated, thereby achieving precise QoS control without incurring configuration delays when services need to be deployed.
Solution Approach 2:
The patent implements feedback mechanisms where QoS performance is continuously monitored and measured, and this information feeds back into the policy configuration process. Analytics based on actual performance data automatically refine and adjust QoS parameters, reducing the need for manual reconfiguration and enabling precise control to be maintained over time with minimal human intervention.
3Reliability
If network resources are allocated to ensure high QoS for all services, then service quality is maintained, but network efficiency and resource utilization decrease
Solution Approach 1:
The patent applies different QoS levels and resource allocation strategies to different services, devices, or network conditions locally rather than uniformly across the entire network. High-reliability QoS is provided only where and when needed based on service requirements and network capabilities, while other portions of the network operate with more efficient, less resource-intensive configurations, thereby maintaining service quality where required without sacrificing overall network efficiency.
Solution Approach 2:
The patent allocates QoS resources partially rather than fully to all services simultaneously. Instead of guaranteeing maximum QoS for every service, the system provides sufficient QoS to meet minimum requirements and uses analytics to dynamically allocate additional resources only when and where services actually need them, preventing resource waste while maintaining acceptable service quality across the network.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. According to an example of the present disclosure, a method performed by an NWDAF entity in a wireless communication system, the method comprising: receiving, from a PCF entity, a first message requesting analytics of QoS and policy assistance, wherein the first message includes at least one QoS parameter set; and transmitting, to the PCF entity, a second message including the analytics. The analytics include predictions on the QoS and policy assistance associated with the at least one QoS parameter set, and QoS parameters or a policy to apply for a service are based on the analytics.