Distributed Local Breakout Scoring for Multi-Edge UPF Routing
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Solution Overview
Problem
Centralized decision-making in 5G mobile core networks for local breakout in multi-access edge computing (MEC) leads to bottlenecks, scalability issues, and delayed service delivery due to limited computing and network resources, and UPFs lack information about remote edge cloud resources and service requirements.
Innovation Solution
User plane breakout functions (UPBFs) dynamically learn about service instances and edge cloud resources across multiple edge clouds, calculating service instance access scores based on processing capacity, link quality, and service requirements to make local breakout decisions without a centralized entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic is always routed through the home agent in mobile IP networks, then security and network management are simplified, but bandwidth is wasted and latency increases due to triangular routing
Solution Approach 1:
The invention segments the traffic routing decision into two parts: control plane traffic continues to route through the home agent for security, while data plane traffic is routed directly through the care-of address for efficiency. This segmentation allows simultaneous optimization of both security and bandwidth utilization.
Solution Approach 2:
The home agent acts as an intermediary that receives binding updates from mobile nodes and distributes routing information to corresponding nodes. This intermediary mechanism enables direct routing paths while maintaining centralized control for security management.
2Productivity
If local breakout is enabled to route traffic directly without home agent, then bandwidth efficiency improves, but determining when to apply local breakout becomes complex
Solution Approach 1:
Mobile nodes autonomously determine when to initiate local breakout by evaluating packet characteristics against predefined criteria. This self-service approach eliminates the need for complex centralized determination mechanisms while achieving optimal routing decisions.
Solution Approach 2:
The invention changes the routing parameter dynamically based on packet characteristics, source/destination addresses, and network conditions. Traffic can switch between routed mode (through home agent) and direct mode (local breakout) based on real-time parameter evaluation.
3Measurement precision
If mobile nodes frequently update their location with home agent, then routing accuracy is maintained, but signaling overhead and network load increase
Solution Approach 1:
Instead of continuous location updates, the system uses periodic binding updates triggered by specific events such as handover detection or timeout conditions. This periodic action maintains routing accuracy while significantly reducing signaling overhead compared to continuous updates.
Solution Approach 2:
The invention extracts the location update function from frequent periodic updates and triggers it only when necessary based on event conditions. This extraction eliminates unnecessary signaling while maintaining routing precision through event-driven updates.
Data Source
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AI summary
A method by a user plane breakout function in a mobile core network for providing dynamic distributed local breakout. The method includes receiving, from one or more neighboring user plane breakout functions, service instance information of one or more instances of a service, processing capacity information of one or more edge clouds, and link quality information of one or more links between other user plane breakout functions. The method further includes, calculating, for each of the one or more instances of the service, a service instance access score for that instance of the service based on the service instance information, the processing capacity information, and the link quality information.