QoS Flow Management for Time Sensitive Ethernet Data
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Solution Overview
Problem
Current 5G networks face challenges in accurately transmitting Time Sensitive Communication (TSC) data due to the use of a unified Quality of Service (QoS) flow, which does not differentiate between various types of TSC data, leading to inefficiencies in resource allocation and scheduling.
Innovation Solution
The method involves determining the type of TSC data based on extended Ethernet packet filter sets, mapping it to specific QoS flows corresponding to its transmission characteristics, and transmitting it accordingly, using network type information such as Ethertype and attribute information from Precision Time Protocol (PTP) or gPTP protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a unified QoS flow is used for all TSC data, then device complexity is reduced and ease of operation is improved, but transmission accuracy and resource allocation efficiency deteriorate
Solution Approach 1:
The patent segments TSC data into different types (e.g., time synchronization data, service data) and assigns each type to dedicated QoS flows with specific characteristics. This segmentation allows precise transmission control for each data type while maintaining overall system manageability through automated classification mechanisms.
Solution Approach 2:
The patent applies local quality by configuring different QoS parameters (priority, delay budget, packet error rate) for different QoS flows based on the specific requirements of each TSC data type. Time synchronization data receives higher priority and stricter delay constraints, while service data has different requirements, optimizing transmission accuracy for each local context.
2Measurement precision
If different QoS flows are used for different TSC data types, then transmission accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring extended Ethernet packet filter sets that contain network type information and transmission characteristic indicators. These filter sets are established in advance, enabling the system to automatically classify and route TSC data to appropriate QoS flows without complex real-time decision-making, thereby reducing operational complexity.
Solution Approach 2:
The patent enables self-service through automated mechanisms where the system independently classifies TSC data types, selects appropriate QoS flows, and manages resource allocation without manual intervention. The extended packet filter sets and automated mapping mechanisms allow the system to self-regulate complexity while maintaining high transmission accuracy.
3Measurement precision
If extended Ethernet packet filter sets with network type information are used, then transmission characteristic identification accuracy is improved, but information processing complexity increases
Solution Approach 1:
The patent applies universality by designing extended Ethernet packet filter sets that serve multiple functions simultaneously: they identify network type, determine transmission characteristics, and enable QoS flow selection. This multi-functionality consolidates multiple processing tasks into a single unified mechanism, improving identification accuracy while avoiding the complexity of separate processing systems.
Data Source
AI summary
A method for data transmission, performed by a first device, such as a User Equipment (UE) or a User Plane Function (UPF) network element, is provided. The method includes: obtaining transmission data; determining, according to network type information included in an extended Ethernet packet filter set, that the transmission data is Time Sensitive Communication (TSC) data; determining a transmission characteristic of the TSC data according to the extended Ethernet packet filter set; and mapping, according to the transmission characteristic, the TSC data to a Quality of Service (QoS) flow corresponding to the transmission characteristic for transmission; and transmitting the TSC data based on the QoS flow.