Dynamic Terminal Group QoS Management in 5G Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current 5G virtual network group communication systems are inflexible and unable to support dynamic situations due to their reliance on static or quasi-static group identification, which limits their ability to efficiently manage group-based operations for multiple user equipment (UEs) participating in AI/ML operations like federated learning.
Innovation Solution
A method and apparatus that support terminal group-based services by receiving a multi-member AF session request with required QoS, converting it for each UE's serving PCF, and interacting with each UE's PCF, while subscribing to QoS monitoring and aggregating data rates to transmit reports based on thresholds and frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static or quasi-static group identification is used for group-based operation, then system complexity is reduced, but adaptability to dynamic situations deteriorates
Solution Approach 1:
The patent implements dynamic group identification by allowing UEs to be added or removed from groups during operation. The network can dynamically update group memberships in response to changing conditions, enabling the system to adapt to dynamic situations while maintaining manageable complexity through structured group management procedures
2Measurement precision
If individual AF session requests are processed for each UE in a group, then QoS management precision is improved, but processing time increases
Solution Approach 1:
The patent combines individual UE QoS requirements with group-level QoS parameters to create aggregated QoS profiles. This merging approach maintains precise QoS management for each UE while reducing overall processing time by handling group members collectively rather than individually, achieving a balance between precision and efficiency
3Productivity
If consolidated data rate monitoring is implemented for the group, then QoS monitoring efficiency is improved, but measurement precision for individual UEs deteriorates
Solution Approach 1:
The patent segments QoS monitoring into two levels: consolidated group-level monitoring for efficiency and individual UE-level monitoring for precision. This segmentation allows the system to maintain both high monitoring efficiency through aggregated views and accurate individual measurements when needed, serving different monitoring requirements simultaneously
Data Source
AI summary
Disclosed are a method of supporting terminal group-based services and devices for performing the same. The method of supporting terminal group-based services according to an embodiment may include receiving a multi-member application function (AF) session request with required quality of service (QoS) for a list of user equipments (UEs), converting the multi-member AF session request into an AF session request with required QoS for a serving policy control function (PCF) of each UE, and interacting with the serving PCF of each UE for each AF session, wherein the list of UEs may be identified by UE Internet Protocol (IP) addresses.