Adaptive QoS Profiling for Variable-Frame-Rate Data Streams
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Solution Overview
Problem
Current 5G network architectures face challenges in adapting to varying frame rates of data flows, leading to inefficient network resource utilization and user experience issues due to fixed QoS profiles that do not account for changing service requirements.
Innovation Solution
Implement an adaptive data flow transmission method where network elements determine and adjust QoS profiles based on the frame rate of the data flow, allowing for timely adaptation to changing service demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed QoS profiles are used for downlink service transmission, then network resource allocation is simplified and management is easier, but the system cannot adapt to frame rate changes, leading to network resource waste or packet loss
Solution Approach 1:
The patent implements dynamic QoS profile selection by network elements based on real-time frame rate detection. Instead of using fixed QoS profiles, the system continuously monitors frame rates and selects appropriate QoS profiles dynamically, allowing the network to adapt to changing service requirements while maintaining manageable complexity through automated detection and selection mechanisms
Solution Approach 2:
The patent changes the QoS profile parameters (such as packet delay budget, packet error rate, and network resource allocation) based on detected frame rate variations. When frame rate changes are detected, the system adjusts QoS parameters to match the new service requirements, enabling adaptation without requiring complete redesign of the QoS management system
2Adaptability or versatility
If network elements continuously monitor and adjust QoS profiles based on frame rate, then adaptability to service requirements improves, but the complexity of network element operations increases
Solution Approach 1:
The patent enables network elements to autonomously detect frame rate changes and select appropriate QoS profiles without requiring manual intervention or complex centralized control. The network elements perform self-service by automatically monitoring data flow characteristics and adjusting their transmission parameters, simplifying operations while maintaining high adaptability to service requirements
3Reliability
If frame rate is increased to improve service quality in dynamic scenarios, then user experience improves, but network resource consumption increases
Solution Approach 1:
The patent dynamically changes QoS parameters including network resource allocation based on detected frame rates. When high frame rates are detected (indicating dynamic scenarios), the system allocates sufficient network resources to maintain service quality. When low frame rates are detected (static scenarios), the system reduces resource allocation, preventing network resource waste while maintaining appropriate service quality
Data Source
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AI summary
Embodiments of this application provide an adaptive data flow transmission method, an apparatus, and a system, relating to the field of communication technologies. The method is used to perform, when a frame rate of a downlink data flow of a service changes, network resource adaptation promptly based on the frame rate of the data flow, to avoid a waste of network resources or a packet loss of media frame data, so as to improve network resource utilization and user experience. The method includes: receiving a data flow that is of a service and that is sent by an application server to a terminal, where the data flow includes one or more protocol data unit sets each including one or more downlink data packets; calculating a frame rate of the data flow; determining, based on the frame rate of the data flow, a QoS profile that adapts to the frame rate of the data flow; and transmitting the data flow based on the QoS profile that adapts to the frame rate of the data flow. In this way, the data flow can be transmitted by using the adapted QoS profile based on the frame rate of the data flow.