Mobile Streaming Quality Monitoring via Set-Top Box Mediator
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Solution Overview
Problem
The mobile streaming service environment faces challenges in monitoring network conditions such as QoS and QoE in real time, unlike wired network streaming services, which hinders the provision of a stable service.
Innovation Solution
A method and device that enable a terminal device to measure the quality of a mobile streaming service and generate a mobile service quality indicator, which is then reported through an MQI message or NAM feedback message, allowing for real-time monitoring of network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a terminal device in a mobile streaming environment attempts to monitor QoS and QoE in real time, then the quality of service and quality of experience can be improved, but the device complexity and measurement difficulty increase significantly
Solution Approach 1:
The patent introduces a set-top box as an intermediary device that performs QoS and QoE measurements on behalf of terminal devices. The set-top box receives measurement requests from the terminal, conducts the actual measurements of network conditions and service quality, and reports results to both the terminal and content provider. This mediator approach allows terminal devices to benefit from real-time quality monitoring without bearing the complexity of implementing measurement functions themselves.
Solution Approach 2:
The set-top box autonomously performs measurement and reporting functions without requiring complex processing at the terminal device. The terminal device simply initiates measurement requests and receives reports, while the set-top box independently executes the measurement tasks, processes data, and generates quality indicators. This self-service mechanism at the set-top box level simplifies the terminal device architecture while maintaining real-time quality monitoring capabilities.
2Measurement precision
If comprehensive quality indicators including cell ID, buffer underrun, packet loss, and content errors are collected and reported, then the precision of quality measurement is improved, but the quantity of data transmitted and processing complexity increase
Solution Approach 1:
The patent extracts and reports only the most critical quality indicators that have the greatest impact on service quality. Among multiple possible measurement parameters, the system selectively reports key indicators such as cell ID changes, buffer underrun events, packet loss rates, and content error counts. This extraction approach focuses data transmission on the most significant quality metrics, reducing overall data volume while maintaining measurement precision for the most important parameters.
Solution Approach 2:
The patent implements different measurement and reporting strategies for different quality indicators based on their local importance. Critical indicators like buffer underrun and packet loss are monitored continuously and reported with high precision, while less critical parameters may be sampled less frequently or aggregated. This localized quality approach ensures that data transmission resources are allocated efficiently to the most important quality metrics.
Data Source
AI summary
The present disclosure relates to a method and device for reporting the quality of a mobile streaming service. A terminal device receiving a mobile streaming service through at least one communication network measures the quality of the streaming service, generates, on the basis of the measurement result, a mobile service quality indicator for monitoring QoS or QoE, and reports the generated mobile service quality indicator in real time through an MQI message, an NAM feedback message, or the like, thereby enabling network conditions to be effectively monitored even in a mobile streaming environment.