QoS Flow Control Using Packet Groups for XR Latency
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Solution Overview
Problem
Existing quality of service (QoS) mechanisms fail to adapt to the high-rate and low-latency transmission requirements of extended reality (XR) services, leading to issues like frame freezing and erratic display.
Innovation Solution
Implementing QoS management at a data packet group granularity, allowing for flexible QoS control and correlated control across multiple flows to meet diverse service needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing QoS mechanism is used, then QoS control is provided at flow level, but it cannot adapt to high-rate and low-latency transmission requirements of XR services
Solution Approach 1:
The patent segments the QoS control granularity from flow level to data packet group level. By dividing the QoS control unit into smaller data packet groups within a flow, the system can apply different QoS parameters to different groups, enabling fine-grained control that adapts to XR service requirements while maintaining transmission reliability through selective prioritization of critical data packets.
2Adaptability or versatility
If QoS control is performed at data packet group granularity, then flexibility of QoS control is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic QoS control where data packets are dynamically assigned to different data packet groups based on service requirements and network conditions. The QoS parameters are dynamically adjusted for each group, providing flexibility while managing complexity through automated dynamic allocation rather than static configuration.
Solution Approach 2:
The patent changes QoS parameters at the data packet group level rather than at the flow level. By modifying parameters such as priority, bandwidth allocation, and latency requirements for specific data packet groups, the system achieves fine-grained control flexibility without requiring complete reconfiguration of entire flows, thus managing complexity.
3Ease of manufacture
If traditional QoS mechanism is used, then implementation is simple, but resource waste occurs due to inability to perform correlated QoS control on multiple flows
Solution Approach 1:
The patent merges multiple QoS-controlled flows into data packet groups that can be correlated across flows. By grouping data packets from multiple flows that share common QoS requirements or dependencies, the system performs correlated QoS control, reducing resource waste through coordinated management while maintaining implementation feasibility through standardized grouping mechanisms.
Data Source
AI summary
A quality of service QoS management method includes: a first device sends first information, where the first information is for requesting QoS for a first service; the first device receives second information, where the second information indicates a QoS control manner and a QoS parameter of a first QoS flow, the first QoS flow is for transmitting a data flow of the first service, and the QoS control manner includes a first control manner for controlling based on a data packet group; and the first device performs QoS control on the data flow of the first service based on the second information.