RAN-Based MEC Session Setup for Flexible Edge Computing
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Solution Overview
Problem
Conventional mobile edge computing architectures are complex and inflexible, leading to reduced network efficiency and difficulty in operator control, as they are strongly coupled to the application layer.
Innovation Solution
A method involving a radio access network device that receives a PDU session setup request, encapsulates it in an NG interface message, and sets up a PDU session with a local computing device based on local computing request information, simplifying the architecture and enabling flexible deployment and improved operator control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile edge computing is strongly coupled to application layer with complex structure, then cloud computing capabilities can be provided at edge, but flexible deployment and operator control cannot be implemented
Solution Approach 1:
The patent extracts the mobile edge computing functionality from the complex application layer architecture and integrates it directly into the radio access network device. This allows the computing capabilities to be provided at the edge while simplifying the overall architecture by removing the need for complex application layer coupling, thereby enabling flexible deployment and operator control.
2Productivity
If mobile edge computing architecture is complex and strongly coupled to application layer, then computing capabilities are extended to edge, but network efficiency is reduced
Solution Approach 1:
The patent merges the mobile edge computing functionality with the radio access network device, combining previously separate functions into a single integrated system. This integration eliminates the need for complex inter-layer communication and coordination, thereby improving network efficiency while maintaining the computational capabilities at the edge.
3Adaptability or versatility
If conventional cloud computing technologies are used, then computing services are provided, but increasing service requirements cannot be met
Solution Approach 1:
The patent transitions from centralized cloud computing to distributed edge computing by deploying computing resources at the radio access network level. This dimensional shift from centralization to distribution enables the system to meet increasing service requirements with improved response speed, as computing services are now provided closer to the users and applications.
Data Source
AI summary
Embodiments of this application disclose a mobile edge computing processing method and a related device, which may be applied to a scenario in which a local computing device (MEC) provides a computing service. A radio access network device determines a matched local computing device based on a PDU session setup request message of a terminal device UE and local computing capability information of a local computing device. Then, the radio access network device sets up a PDU session between the local computing device and the terminal device. A network device (including the radio access network device and a core network device) uses the local computing device as a computing resource of a network, and the network device controls communication and interaction between the UE and the local computing device.