Network Component Selection Using Link Load Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In communication networks like 5G, load distribution can become skewed, leading to computational resource scarcity in some components while others remain underutilized, as existing methods lack effective load balancing strategies for selecting network components.
Innovation Solution
A communication network arrangement and method that utilize link load analytics information to select network components, where an analytics component, such as the Network Data Analytics Function (NWDAF), collects and provides load information to help the first network component choose a second network component based on link loads, ensuring balanced resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple network components provide the same service, then service availability is improved, but load distribution becomes skewed causing resource scarcity in some components
Solution Approach 1:
The patent implements feedback mechanisms where network components report their load status and service quality metrics back to the selection entity. This feedback loop enables the selection entity to make informed decisions about load distribution, selecting components based on real-time load information and service quality data to achieve balanced resource utilization while maintaining service availability.
Solution Approach 2:
The patent changes the selection parameters from static availability checks to dynamic load-aware selection. By introducing load information as a selection criterion and adjusting selection weights based on service quality metrics, the system transitions from simple component availability-based selection to intelligent load-balancing selection that prevents resource scarcity.
2Device complexity
If existing selection methods are used, then implementation simplicity is maintained, but effective load balancing cannot be achieved
Solution Approach 1:
The patent introduces an intermediary selection entity that mediates between service consumers and network components. This intermediary collects load information from multiple components, processes selection criteria, and makes informed selection decisions. The intermediary layer simplifies the overall system by centralizing the complex selection logic and providing a manageable interface for load-aware component selection.
3Productivity
If link load analytics are collected and used for selection, then load balancing is improved, but information collection and processing complexity increases
Solution Approach 1:
The patent makes the analytics component multi-functional by having it serve multiple purposes: collecting link load information, processing selection criteria, providing load-aware selection recommendations, and enabling both service consumer and network operator decision-making. This universal component reduces overall system complexity by consolidating multiple functions into a single versatile element.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
According to an embodiment, a communication network arrangement is described comprising a first network component and a group of second network components, wherein each second network component provides multiple links wherein the first network component is configured to select a second network component from the group of second network components based on information depending on link loads of the links provided by the second network components.