Edge Computing Session Management for 5G Service Continuity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 4G/5G systems face challenges in efficiently managing network slices and providing seamless edge computing services, particularly in terms of network function virtualization, resource allocation, and service continuity, leading to suboptimal user experience and increased operational costs.
Innovation Solution
The implementation of enhanced 5G core network functionalities, including network slicing and edge computing, which involves the use of network functions such as AMF, SMF, UPF, and PCF, to manage network resources and provide localized computing services, ensuring efficient traffic steering and service continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network slicing and edge computing are implemented in 4G/5G systems, then network efficiency and service continuity are improved, but device complexity and operational costs increase
Solution Approach 1:
The patent implements network slicing by dividing the core network into multiple isolated logical networks, each serving specific service requirements. This segmentation allows different network functions to be independently managed and optimized, improving overall network efficiency while containing complexity within isolated slices rather than the entire network.
Solution Approach 2:
The patent introduces a session management function as an intermediary component that coordinates between edge computing nodes and core network functions. This intermediary layer simplifies the interaction between complex components, managing resource allocation and service continuity without requiring direct complex interactions between all network elements.
2Speed
If edge computing services are provided with localized computing, then latency is reduced, but resource allocation becomes more complex
Solution Approach 1:
The patent implements preliminary resource reservation and pre-provisioning of computing resources at edge nodes before services are actually needed. This allows the system to prepare resource allocation in advance, reducing latency when services are activated while simplifying real-time resource management through pre-established frameworks.
Solution Approach 2:
The patent implements dynamic resource allocation mechanisms that automatically adjust computing resources based on real-time service demands and network conditions. This dynamic approach optimizes resource distribution to minimize latency while using automated decision-making to reduce manual allocation complexity.
3Adaptability or versatility
If multiple network functions are virtualized, then adaptability is improved, but operational costs increase
Solution Approach 1:
The patent implements universal network function virtualization platforms that can perform multiple functions through software configuration rather than dedicated hardware for each function. This multi-functionality approach improves network adaptability by allowing the same infrastructure to support various services while reducing operational costs by consolidating resources rather than provisioning separate systems for each function.
Data Source
AI summary
A wireless device sends, to a network function, a session control request message requesting control of a session associated with an application and offloaded processing of data from the wireless device to an application server associated with the application. The wireless device receives, from the network function, a response message indicating a rejection or an acceptance of the offloaded processing of the data.