NWDAF Policy Control for Reducing Network Component Loads
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing network monitoring systems struggle to effectively manage and reduce heavy loads at network components, leading to inefficiencies and potential network congestion.
Innovation Solution
Implementing a Network Data Analytics Function (NWDAF) that collects and analyzes network activity data and generates analytics to inform policy decisions, allowing for proactive management of network traffic and resource allocation to avoid or reduce heavy loads at network components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network monitoring systems collect and analyze operational parameters from physical and logical network components, then network performance optimization and fault detection improve, but system complexity and processing overhead increase
Solution Approach 1:
The patent segments the network monitoring system into multiple specialized functional components: data collection modules that gather operational parameters from network elements, data storage modules that organize collected data, data processing modules that analyze the data, and report generation modules that present results. This segmentation allows each component to be optimized independently, improving overall system reliability while managing complexity through modular design.
2Reliability
If network monitoring systems track traffic volumes and latency in real-time, then network fault detection improves, but processing load and resource consumption increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring data collection templates, pre-establishing analysis algorithms, and pre-organizing storage structures for network operational data. This preparation work is done in advance so that when real-time monitoring is needed, the system can quickly process data without extensive computational overhead, thus improving fault detection capability while maintaining processing efficiency.
3Quantity of substance
If network components handle heavy traffic loads, then service coverage and user capacity improve, but network congestion and performance degradation occur
Solution Approach 1:
The patent implements feedback mechanisms where the data processing modules continuously monitor network traffic patterns and performance metrics, then feed this information back to network element control modules. This feedback enables dynamic adjustment of traffic routing, load balancing, and resource allocation, allowing the system to handle high traffic volumes while preventing congestion and maintaining performance through real-time adaptive control.
Data Source
AI summary
A system comprises one or more devices that implement network functions (NFs). The NFs comprise a network data analytics function (NWDAF) configured to provide first analytics to a policy control function (PCF). In addition, the NFs also comprise the PCF configured to: receive the first analytics from the NWDAF; generate a first policy rule based on the first analytics; and forward the generated first policy rule to a network component to process the first policy rule at the network component.