QoE Evaluation Using Media Server Mediator for IPTV
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Solution Overview
Problem
Traditional methods for evaluating Quality of Experience (QoE) in IPTV services require high capabilities from measuring points, which may not always have access to all necessary parameter information, leading to inefficiencies and increased burdens when attempting to calculate QoE values.
Innovation Solution
A method and system that obtain service parameter information from a media server and QoS metrics to calculate QoE, distributing the workload and ensuring QoE evaluation can occur even when the measuring point lacks the necessary capabilities, by using a network apparatus with modules for obtaining, matching, and processing this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the measuring point uses traditional QoS metrics and codec parameters to calculate QoE value, then the QoE evaluation can be performed at the measuring point, but the measuring point requires high capability to obtain all parameter information and bears heavy burden
Solution Approach 1:
The patent introduces a media server as an intermediary that collects and manages service parameter information (codec parameters, service content information) separately. The measuring point only needs to obtain QoS metrics and match them with service parameter information from the media server using match information, rather than collecting all parameters itself. This mediator approach resolves the contradiction by enabling QoE evaluation without requiring the measuring point to have high capability to obtain all parameter information.
Solution Approach 2:
The patent segments the QoE evaluation process into two independent parts: (1) service parameter information collection and management handled by the media server, and (2) QoS metrics collection and matching handled by the measuring point. By using match information to associate these segmented parts, the system enables QoE evaluation while reducing the burden on the measuring point, as it no longer needs to collect all parameters independently.
2Reliability
If the measuring point obtains all parameter information independently, then the QoE calculation can be performed locally, but the burden on the measuring point increases significantly
Solution Approach 1:
The media server acts as an intermediary that stores and manages service parameter information, reducing the burden on the measuring point. The measuring point only needs to obtain QoS metrics and retrieve corresponding service parameter information from the media server using match information, rather than collecting all parameters independently. This maintains QoE calculation accuracy while significantly easing the operating burden on the measuring point.
Solution Approach 2:
The media server provides self-service functionality by automatically managing and storing service parameter information, making it readily accessible to measuring points. This eliminates the need for measuring points to independently collect and manage all parameter information, reducing their burden while ensuring accurate QoE calculation through access to complete parameter sets.
3Ease of manufacture
If the measuring point lacks the ability to obtain all parameter information, then the system is easier to deploy, but traditional methods cannot perform QoE evaluation
Solution Approach 1:
The media server serves as an intermediary that centralizes the collection and management of service parameter information. Measuring points with limited capabilities can still perform QoE evaluation by obtaining QoS metrics and matching them with service parameter information from the media server using match information. This intermediary approach enables QoE evaluation even when measuring points lack the ability to obtain all parameter information independently, maintaining measurement precision while easing deployment requirements.
Data Source
AI summary
A method for evaluating quality of experience (QoE) includes obtaining service parameter information sent from a media server. Quality of service (QoS) metrics is obtained. QoE is obtained according to the service parameter information and the QoS metrics.