3GPP Management System for Edge Computing Deployment
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Solution Overview
Problem
Next-generation wireless communication systems face challenges in meeting diverse performance dimensions and service requirements, particularly in reducing end-to-end latency for services like autonomous driving, which demands ultra-low latency and high data capacity, due to geographical limitations and network load in traditional 5G networks.
Innovation Solution
The deployment of User Plane Function (UPF) and Application Server (AS) in edge computing networks, facilitated by a 3GPP management system that identifies QoS requirements and orchestrates network functions virtualization to connect UPF and AS, enabling peer-to-peer edge computing and reducing latency by hosting services closer to user equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If services are hosted in traditional 5G network data centers, then network management is simplified, but end-to-end latency increases due to geographical distance from user equipment
Solution Approach 1:
The patent introduces a new spatial dimension for service deployment by placing Application Servers at the network edge (base station side) rather than in centralized data centers. This dimensional shift from centralized to distributed architecture reduces the physical distance between users and services, thereby reducing end-to-end latency while accepting increased architectural complexity through the introduction of edge computing nodes
Solution Approach 2:
The patent implements local quality by deploying Application Servers locally at edge locations close to specific user groups. This allows services to be hosted in proximity to users with high latency requirements (e.g., autonomous driving applications), providing localized low-latency service while maintaining centralized management for other network functions
2Productivity
If User Plane Function and Application Server are deployed at network edge, then service delivery efficiency improves, but network function orchestration complexity increases
Solution Approach 1:
The patent introduces an intermediary orchestration system that mediates between centralized network management and distributed edge computing resources. This intermediary layer coordinates the deployment and management of User Plane Functions and Application Servers at the network edge, enabling efficient service delivery while abstracting the complexity of edge resource management from core network controllers
Solution Approach 2:
The patent segments the network function orchestration into multiple independent components: centralized management functions remain in the core network, while edge-specific orchestration is handled by local controllers at base stations. This segmentation allows service delivery efficiency to improve through localized decision-making while complexity is distributed and managed in smaller, more manageable units
3Loss of time
If Application Server is placed closer to user equipment, then latency is reduced for autonomous driving services, but network load distribution becomes more complex
Solution Approach 1:
The patent applies local quality by selectively deploying Application Servers at network edge locations based on local service requirements. For autonomous driving services requiring ultra-low latency, Application Servers are placed locally at base stations serving those users. This localized deployment reduces response latency for time-critical services while maintaining simpler centralized architecture for services without stringent latency requirements
Solution Approach 2:
The patent implements dynamic network load distribution where Application Servers can be dynamically activated or deactivated at edge locations based on real-time service demands. This dynamic approach allows the network to adapt load distribution patterns flexibly, reducing latency for autonomous driving services when needed while avoiding permanent complexity overhead for locations or times when such services are not required
Data Source
AI summary
Technology is disclosed for a Third Generation Partnership Project (3GPP) management system operable for peer-to-peer (P2P) edge computing in a fifth generation (5G) computing network. The 3GPP management system can be configured to: identify a user plane function (UPF) based on quality of service (QoS) requirements. The 3GPP management system can be configured to request, from an edge computing management system, deployment of an application server (AS). The 3GPP management system can be configured to request a network functions virtualization (NFV) orchestrator (NFVO) to connect the UPF and the AS based on the QoS requirements.