Initial EAS Selection With Traffic Influence for Edge Session Routing
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Solution Overview
Problem
The existing 3GPP specifications lack clear methods for determining which application uses which Edge Application Server (EAS) service and for optimizing user plane routing during initial EAS discovery in the application layer.
Innovation Solution
A method for service session context handling and traffic influence is proposed, involving EAS discovery, selection, and declaration, where the Edge Enabler Client (EEC) communicates with the Edge Enabler Server (EES) to determine and influence traffic routing, using messages like EAS declaration requests and responses over EDGE-1 interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE performs EAS discovery and selection based on preferred providers and KPIs, then service quality and traffic optimization are improved, but the complexity of service session management increases
Solution Approach 1:
The patent introduces the EES (Edge Enabler Server) as an intermediary between the UE and EAS (Edge Application Server). The EES receives the selected EAS information from the UE and handles the service session context management, thereby reducing the complexity burden on the UE while maintaining service quality through KPI-based selection.
Solution Approach 2:
The patent divides the service session management into distinct functional components: EAS discovery and selection (performed by UE based on KPIs), service session context handling (performed by EES), and traffic influence (performed by EES). This segmentation allows each component to focus on specific tasks, improving overall system reliability while managing complexity through functional separation.
2Measurement precision
If detailed information about EAS selection is transmitted to EES, then traffic influence precision is improved, but the amount of data transmitted and processing overhead increase
Solution Approach 1:
The patent extracts only the essential information needed for traffic influence from the EAS selection process. The UE transmits the selected EAS identifier and endpoint information to the EES, which is sufficient for the EES to perform service session context handling and traffic influence without requiring all the detailed KPI data used for selection.
Data Source
AI summary
A method performed by a User Equipment having a first functional component implementing an enabler function. The method comprises performing an Edge Application Server (EAS) discovery to discover information regarding one or more first network functions implementing EASs as part of an initial service provisioning. The method further comprises selecting at least one first network function for implementing an initial EAS of the one or more first network functions, for providing service to a second functional component implementing application function in the UE. The method further comprises determining a second network function implementing Edge Enabler Server (EES) according to the selected at least one first network function as an initial EAS. The method further comprises transmitting, to the determined second network function, a message for triggering at least one of service session context handling and traffic influence. The message comprises an EAS endpoint of the selected initial EAS.