Multi-User XR QoS Coordination Across Network Regions
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Solution Overview
Problem
Existing solutions for coordinating Quality of Service (QoS) policies across multiple Public Land Mobile Networks (PLMNs) for Metaverse applications with users in different networks fail to account for non-roaming scenarios, leading to delays and potential QoS disparities that can degrade the overall user experience.
Innovation Solution
A first control plane entity and a session management entity are introduced to manage QoS across different networks by establishing a multi-user QoS policy based on binding information, enabling coordination and synchronization of QoS policies among multiple PLMNs through a coordinator and participant role system, with features like MPQ policy establishment, distribution, and handling QoS fulfillment failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing solutions for coordinating QoS policies across multiple PLMNs are used, then QoS coordination is attempted, but delays occur and QoS disparities degrade user experience
Solution Approach 1:
The patent applies preliminary action by establishing QoS policies in advance before users from different PLMNs interact in the virtual environment. The system pre-configures QoS parameters, bandwidth allocations, and latency requirements for anticipated multi-PLMN interactions, eliminating the need for real-time coordination negotiations and thus reducing delays while ensuring consistent QoS delivery.
2Reliability
If QoS policies are coordinated across multiple PLMNs, then consistent QoS can be achieved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary QoS coordination entity that acts as a mediator between multiple PLMNs. This central coordinator receives QoS requirements from different PLMNs, harmonizes the policies, and distributes coordinated QoS parameters back to participating PLMNs, thereby simplifying the overall system architecture while ensuring consistent QoS fulfillment across network boundaries.
Solution Approach 2:
The coordination system implements universality by designing a multi-functional QoS policy framework that handles various scenarios (roaming, non-roaming, different application types) through a single unified mechanism. The system can adaptively apply appropriate QoS parameters for different service types (voice, data, streaming) and network conditions, reducing the need for multiple specialized coordination systems.
3Stability of the object's composition
If QoS policies are synchronized across PLMNs, then user experience stability is improved, but information exchange requirements increase
Solution Approach 1:
The patent applies local quality by allowing each PLMN to maintain local QoS policy optimizations tailored to its specific network conditions, user profiles, and service offerings. The coordination mechanism enables local PLMNs to adjust QoS parameters within predefined ranges while maintaining overall consistency, thus preserving user experience stability without requiring complete centralization of QoS decision-making and reducing information exchange overhead.
Data Source
AI summary
The present disclosure relates to extended reality (XR) applications and services. The disclosure is concerned with managing quality of service (QoS) of flows of a multi-user (XR) application, wherein multiple users of the application are located in different networks or network regions or different groups of control plane entities. A multi-user QoS policy that defines information to be used for the management of two or more flows of the multi-user application is established. The multi-user QoS policy is employed by a control plane entity for managing QoS of a first set of one or more flows of the multi-user application, or a session management entity for supporting the management of QoS of at least one flow two or more flows of a multi-user application. Further, the disclosure also provides corresponding methods and computer programs.


