Dynamic PDU Session Anchor Relocation for 5G Edge Computing

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Solution Overview

Problem

Current mobile communication systems face challenges in efficiently managing PDU sessions and edge application server (EAS) relocation across different data network access identifiers (DNAIs), leading to potential service disruptions and suboptimal user traffic routing in 5G networks.

Innovation Solution

Implementing a system that uses data network access identifiers (DNAIs) to route packets to edge application servers (EAS) and manage PDU session anchors (PSAs) dynamically, allowing for proactive and reactive relocation of PSAs and EASs based on traffic steering policies and mobility events, ensuring service continuity and optimal connectivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If PDU sessions and EAS are managed statically without dynamic relocation mechanisms, then system complexity is reduced, but service continuity and network performance deteriorate during mobility events

Engineering Contradiction:
Improveservice continuityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic relocation of PDU session anchors (PSA) and edge application servers (EAS) based on mobility events and traffic steering policies. The system transitions from static to dynamic management by establishing new PDU sessions with updated PSA and EAS addresses when mobility events occur, ensuring service continuity while adapting to changing network conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system performs preliminary actions by establishing new PDU sessions with updated PSA and EAS addresses before service disruptions occur. The mobility management function proactively detects mobility events and triggers relocation procedures in advance, preventing service interruptions rather than reacting after problems arise.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If dynamic PSA and EAS relocation is implemented, then service continuity and traffic routing are improved, but system complexity and management overhead increase

Engineering Contradiction:
Improvenetwork performanceVSAvoidmanagement overhead
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system employs self-service mechanisms where the mobility management function autonomously detects mobility events, determines the need for relocation, and executes PSA/EAS relocation without requiring manual intervention. The system automatically manages the complexity of dynamic relocation by making relocation decisions based on predefined policies and event triggers.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses feedback mechanisms by monitoring mobility events and network conditions to trigger relocation only when necessary. The mobility management function continuously receives feedback about user equipment mobility and network state, enabling intelligent decision-making that balances service quality with resource utilization, avoiding unnecessary relocations.

Inventive Principle:
Principle #23Feedback

3Productivity

If PSA re-allocation is performed frequently to optimize routing, then traffic routing efficiency improves, but service stability and user experience deteriorate due to unnecessary re-allocations

Engineering Contradiction:
Improvetraffic routing efficiencyVSAvoidservice stability
Core Design Contradiction:
ProductivityVSStability of the object's composition

Solution Approach 1:

The system changes parameters selectively by evaluating specific mobility event parameters and traffic steering policy conditions before triggering relocation. Rather than frequently re-allocating PSA based on minor parameter changes, the system only initiates relocation when parameter changes meet predefined thresholds or policy criteria, ensuring stable service while optimizing routing efficiency.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20230209621A1Methods, architectures, apparatuses and systems for discovery, selection and optimal access to edge computing networks
Publication Date: 2023.06.29 INTERDIGITAL PATENT HOLDINGS INC
  • US20230209621A1 patent drawing
  • US20230209621A1 patent drawing
  • US20230209621A1 patent drawing

AI summary

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products are described herein for discovery, selection and optimal access to edge computing networks. A WTRU may identify relevant application servers, for example, based on application level procedures. A WTRU may derive a mapping, for example, from selected applications and an application function (AF) transaction ID. A WTRU may request access to an edge application server (EAS), for example, via a packet data unit PDU) session establishment or a PDU session modification procedure, e.g., based on an AF transaction ID. A WTRU may obtain a new EAS address, for example, based on receipt of a PDU session establishment and/or a modification accept message.