QoS Notification Control for Non-GBR Bearer Flow Adaptation
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Solution Overview
Problem
In 5G mobile communication, non-guaranteed bit rate (GBR) QoS flows face challenges in adapting to network resource shortages, leading to suboptimal voice and video communication quality due to inadequate quality of service (QoS) control mechanisms.
Innovation Solution
A QoS notification control (QNC) mechanism is implemented, where a terminal receives changed parameter values from a core entity, allowing it to actively control applications to adapt to changes in radio network status, specifically for non-GBR bearer flows, by adjusting computing and traffic policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-GBR QoS flows are used to accommodate more service flows, then network resource utilization is improved, but service quality deteriorates when network resources are insufficient
Solution Approach 1:
The patent implements dynamic QoS parameter adjustment mechanisms that allow non-GBR service flows to adapt their transmission parameters in real-time based on current network conditions. The system dynamically modifies QoS parameters such as packet delay budget, packet error rate, and bit rate according to network resource availability, enabling service flows to maintain acceptable quality while efficiently utilizing available network capacity.
Solution Approach 2:
The patent establishes feedback loops between the network infrastructure and service flows that continuously monitor network resource status and service quality metrics. This feedback mechanism enables the system to detect when network resources become insufficient and trigger appropriate QoS parameter adjustments to prevent service degradation, thereby maintaining reliability while maximizing resource utilization.
2Adaptability or versatility
If QoS control is relaxed to allow more flexible resource allocation, then adaptability is improved, but service quality control deteriorates
Solution Approach 1:
The patent utilizes parameter changes as a core mechanism to balance adaptability and quality control. By dynamically adjusting QoS parameters such as packet delay budget, packet error rate, and bit rate based on network conditions, the system achieves flexible resource allocation while maintaining service quality within acceptable ranges. The parameter adjustment is guided by predefined thresholds and network status indicators.
Solution Approach 2:
The system transitions from static QoS parameter configuration to dynamic parameter adjustment, enabling service flows to adapt their characteristics in real-time according to network conditions. This dynamic approach allows the system to maintain service quality control while achieving the flexibility needed for efficient resource allocation across varying network states.
3Reliability
If network resources are prioritized for GBR flows, then service quality for guaranteed flows is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent applies partial action by allocating network resources in a prioritized manner where GBR flows receive guaranteed minimum resources to maintain service quality, while non-GBR flows utilize remaining available resources. This partial allocation strategy ensures that GBR service quality requirements are met without unnecessarily reserving excessive resources that would reduce overall system efficiency. The system dynamically adjusts the allocation boundary based on actual network conditions.
Data Source
AI summary
A method for controlling an application includes receiving, by a terminal, a changed parameter value of quality of service (QoS) notification control (QNC) of a non-guaranteed bit rate (GBR) bearer flow from a core entity, and controlling, by the terminal, the application according to the changed parameter value of QNC.