Application Session QoE Control Using QoS Metric Feedback
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Solution Overview
Problem
Existing wireless communication systems struggle to effectively measure and adjust network parameters to ensure a desirable quality of experience (QoE) for users, as QoE is influenced by both system and human factors, making it difficult to optimize resource allocation and maintain user satisfaction.
Innovation Solution
A method and apparatus for determining a quality of experience (QoE) value based on quality of service (QoS) metrics, using an aggregate score and absolute category ratings, and adjusting network parameters to improve user experience by dynamically adapting QoS parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network parameters are adjusted based on QoS metrics, then user satisfaction and QoE are improved, but measurement precision and complexity of monitoring increase
Solution Approach 1:
The patent introduces QoS metrics as intermediary measurements that indirectly reflect user experience. Instead of directly measuring subjective QoE, the system uses objective QoS parameters (packet loss, latency, throughput) as proxies to infer and adjust for user satisfaction, thereby achieving reliable QoE optimization without complex direct measurement systems
Solution Approach 2:
The system implements a feedback loop where QoS metrics are continuously monitored, aggregated into QoE values, and used to dynamically adjust network parameters. This closed-loop feedback mechanism enables the network to adapt to changing user experience conditions in real-time, improving user satisfaction while maintaining manageable measurement complexity through standardized metrics
2Productivity
If dynamic adjustment of network parameters is implemented, then network performance and capacity utilization are improved, but device complexity and control mechanisms increase
Solution Approach 1:
The patent dynamically adjusts network parameters such as packet transmission intervals, retransmission counts, and buffer sizes based on calculated QoE values. By systematically varying these parameters in response to measured performance metrics, the network optimizes capacity utilization while maintaining control through standardized adjustment protocols
Solution Approach 2:
The system transitions from static network configurations to dynamic parameter adjustment, where network behavior adapts in real-time based on QoS conditions. This dynamic approach enables the network to respond to changing traffic patterns and user requirements, improving productivity while managing complexity through automated decision-making algorithms
3Ease of operation
If QoS metrics are aggregated into QoE values, then ease of operation and network management are improved, but loss of information and data accuracy may increase
Solution Approach 1:
The patent combines multiple individual QoS metrics (packet loss rate, latency, throughput, jitter) into a single aggregated QoE value through weighted scoring. This merging simplifies network management by providing a unified performance indicator while preserving data accuracy through careful selection of representative metrics and appropriate weighting factors that reflect actual user experience priorities
Data Source
AI summary
There is provided an apparatus comprising means for determining a quality of experience value associated with a user equipment's application session, the quality of experience value being based on one or more values associated with a respective one or more quality of service metrics for the user equipment's session. The apparatus also comprising means for adjusting one or more network parameters based on the determined quality of experience value.