QoE Management System for Dynamic Network Resource Optimization
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Solution Overview
Problem
Conventional QoS provisioning techniques are inadequate for managing Quality of Experience (QoE) in network services, as they do not account for user-specific video content and motion activities, leading to inefficient resource utilization and unsatisfactory user experiences, especially in multi-application home networks where resource competition worsens network deterioration.
Innovation Solution
A QoE management system that uses user feedback to optimize QoS provisioning techniques by providing a user interactive interface for users to input their expected QoE requirements, which are then used by a coordinator unit to adjust QoS settings based on network conditions, ensuring better overall QoE performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QoS provisioning techniques are designed for target QoS for certain applications, then system performance is fixed and consistent good video QoE is guaranteed, but user cannot control the quality of received video service and network resources are wasted
Solution Approach 1:
The system dynamically adjusts QoS parameters based on real-time user feedback and network conditions. The QoS provisioning is no longer fixed but adapts continuously, allowing users to control video quality while optimizing network resource usage through dynamic reconfiguration of transmission parameters.
Solution Approach 2:
The system implements a feedback mechanism where user quality preferences are collected and used to adjust QoS settings. This closed-loop control enables users to express their quality requirements, and the system responds by optimizing resource allocation accordingly, resolving the contradiction between fixed performance and user control.
2Reliability
If QoS is adjusted to guarantee consistent good video QoE under worst channel conditions, then video quality is maintained, but network resources are wasted
Solution Approach 1:
Instead of statically provisioning QoS for worst-case conditions, the system dynamically adjusts QoS parameters based on actual network conditions and user preferences. This allows the system to maintain acceptable video quality while using network resources efficiently, avoiding the waste associated with over-provisioning for worst-case scenarios.
Solution Approach 2:
The system changes QoS parameters (such as bandwidth allocation, error correction levels, and transmission rates) based on real-time conditions and user feedback. This flexible parameter adjustment enables the system to maintain video quality consistency without permanently allocating excessive resources, thereby improving overall network resource efficiency.
3Productivity
If multiple applications compete for resources using independent QoS improvement techniques, then each application tries to optimize its own performance, but network deterioration worsens
Solution Approach 1:
The system merges the QoS control of multiple applications under a unified management framework. Instead of independent QoS optimization that leads to resource conflicts, the system coordinates resource allocation across applications, allowing each to maintain performance while preventing overall network deterioration through centralized control.
Solution Approach 2:
The system implements a universal QoS management mechanism that serves multiple applications simultaneously. This multi-functional approach allows different applications to share network resources fairly and efficiently, with the system balancing their competing demands to maintain both individual application performance and overall network health.
Data Source
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AI summary
The present invention provides a QoE (Quality of Experience) management solution, wherein QoE feedback is used to optimize the usage of QoS provisioning techniques, thus improving the utilization efficiency of network resources. According to one aspect of the invention, a method for QoE management for a network service provided to a user device, the method comprising: displaying a user interface on the user device for a user to input an expected QoE value of the network service; receiving the expected QoE value of the network service from the user; evaluating an objective QoE value of the network service as a function of network QoS parameters; and adjusting the QoS parameters of the network service if the objective QoE value is less than the expected QoE value.