Adaptive QoS Profile Selection for Variable Frame Rate Data Flows
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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 dynamic changes in service requirements.
Innovation Solution
An adaptive data flow transmission method that dynamically adjusts QoS profiles based on the frame rate of data flows, allowing network elements to promptly select appropriate QoS profiles to optimize resource utilization and reduce packet loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed QoS profiles are used for downlink service transmission, then network resource scheduling is simple and stable, but the system cannot adapt to dynamic frame rate changes resulting in wasted network resources or packet loss
Solution Approach 1:
The patent transforms the static QoS profile system into a dynamic one by introducing frame rate detection and adaptive QoS profile selection. The network element continuously monitors the actual frame rate of downlink data flows and selects appropriate QoS profiles based on detected frame rates, enabling the system to adapt to dynamic service requirements while maintaining manageable complexity through automated decision-making
Solution Approach 2:
The patent implements a feedback mechanism where the network element detects the actual frame rate of data flows and uses this information to adjust QoS profile selections. This closed-loop feedback allows the system to respond to real-time conditions, ensuring optimal resource allocation based on actual service demands rather than fixed configurations
2Reliability
If higher frame rates are used to prevent image jitter in dynamic scenarios, then service quality improves, but network resource consumption increases and power consumption of terminal increases
Solution Approach 1:
The patent dynamically adjusts the frame rate parameter based on service type and network conditions. By detecting actual frame rates and matching them with appropriate QoS profiles, the system optimizes the balance between service quality (preventing image jitter) and energy consumption, allowing lower frame rates for static scenarios and higher frame rates only when dynamically needed
3Productivity
If network elements schedule resources based on fixed QoS parameters, then resource allocation is straightforward, but service requirement changes cannot be flexibly adapted affecting service experience
Solution Approach 1:
The network element performs self-adjustment by automatically detecting frame rates and selecting appropriate QoS profiles without requiring manual reconfiguration. This self-service capability enables the system to adapt to changing service requirements dynamically, improving service experience while keeping the complexity management through automated local decision-making
Data Source
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.