SON-Assisted RAT Selection for Virtualized RAN Throughput
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Solution Overview
Problem
In a virtualized multi-RAT radio network, existing systems face challenges in optimizing User Equipment (UE) connectivity due to data throughput saturation limits, where the assumption that a 5G network provides the best throughput may not always hold, and other RAT nodes with available capacity can offer better performance.
Innovation Solution
A method for Self-Organizing Network (SON) assisted Radio Access Technology (RAT) selection for UE in a virtualized RAN environment, where a SON module detects data saturation and initiates a handover to a different RAT node with sufficient capacity within the same geographic area, ensuring optimal data throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If UE connects to 5G network based on default settings, then theoretical UL/DL speeds are improved, but actual throughput deteriorates when virtual node approaches data saturation limits
Solution Approach 1:
The SON module continuously monitors data throughput performance and KPIs of virtual nodes, detecting when a virtual node approaches saturation limits. Based on this feedback, the system dynamically initiates handover procedures to alternative RAT virtual nodes that can provide better throughput, thus resolving the contradiction between theoretical speed advantages and actual throughput performance
Solution Approach 2:
The system transitions from static default network selection to dynamic RAT selection. The SON module evaluates multiple RAT virtual nodes in real-time and dynamically switches UE connections based on current network conditions, ensuring optimal actual throughput while maintaining the theoretical speed advantages of 5G when conditions permit
2Productivity
If SON module monitors all virtual nodes for saturation, then throughput optimization is improved, but system complexity increases
Solution Approach 1:
The SON module serves multiple functions: it monitors data throughput performance, detects saturation conditions, evaluates alternative RAT virtual nodes, and initiates handover procedures. This multi-functional approach consolidates complexity into a single management entity rather than distributing it across multiple specialized components
Solution Approach 2:
The SON module autonomously monitors virtual node performance and automatically initiates handover decisions without requiring external intervention. The system self-manages the complexity of monitoring and optimization, reducing the burden on network operators and external control systems
Data Source
AI summary
Systems, methods and computer software are disclosed for a Self Organizing Network (SON) Radio Access Technology (RAT) selection for User Equipment (UE) in a virtualized Radio Access Network (RAN) environment. In one embodiment, a method is disclosed, comprising: establishing, by the UE, a Signaling Radio Bearer (SRB) and at least one Data Radio Bearer (DRB) with a Virtual node (Vnode); determining, by the SON, whether the Vnode has reached a data saturation limit; when the Vnode has reached the data saturation limit, then determining whether there is another RAT Vnode which can provide better data throughput; and when there is another RAT Vnode which can provide better data throughput, then initiating a handover procedure for the UE and specifying a target cell located in a same geographic area.