Remote Home Network QoS Classification via TR-069
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Solution Overview
Problem
The existing methods for determining user quality of service (QoS) in home networks are time-consuming and costly, as they require on-site technician visits to diagnose network capacity issues, which can hinder the provision of services like digital television and online gaming.
Innovation Solution
A remote server uses an application layer protocol (such as TR-069) to collect and process home network measurement data, estimating network capacity and classifying the network into a QoS class, allowing for remote QoS classification without the need for technician visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If technicians are dispatched to examine the home network, then accurate QoS determination is achieved, but time consumption and cost increase
Solution Approach 1:
The home network performs self-diagnosis by automatically collecting measurement data about its own parameters (signal strength, noise level, data rates) and transmitting this data to the service operator. This eliminates the need for technician visits while maintaining accurate QoS determination through automated monitoring and reporting mechanisms.
Solution Approach 2:
A remote server acts as an intermediary between the home network and the service operator. The server receives measurement data from the home network, processes it to determine QoS class, and provides results to the operator without requiring physical presence. This intermediary system enables accurate remote assessment of network quality.
2Measurement precision
If technicians are dispatched to examine the home network, then accurate QoS determination is achieved, but cost increases
Solution Approach 1:
The automated self-service system allows the home network to independently measure and report its own QoS parameters, eliminating the need for expensive technician dispatches. The system maintains measurement precision through automated data collection and analysis performed by remote servers, significantly reducing operational costs.
Solution Approach 2:
The patent replaces the mechanical system of technician visits with an automated electronic measurement and communication system. Measurement devices within the home network automatically collect data and transmit it electronically to remote servers for analysis, substituting human physical presence with automated digital processes that are both accurate and cost-effective.
3Productivity
If remote measurement is implemented, then time and cost are reduced, but measurement capability must be comprehensive
Solution Approach 1:
The home gateway device performs multiple functions: it serves as a network router, a measurement collection point, and a data transmission interface. By making the gateway multi-functional, the system achieves comprehensive remote measurement capabilities without adding separate dedicated measurement devices, thus managing complexity while maintaining productivity.
Solution Approach 2:
The measurement system is segmented into distinct functional modules: measurement data collection at the home network, data transmission to remote servers, and QoS analysis at the server端. This segmentation allows each component to be optimized independently, improving overall system efficiency while keeping individual components manageable in complexity.
Data Source
AI summary
Method for determining from a remote server a user quality of service (QoS) class of a home network, comprising the following steps performed at the remote server which is connected through the internet with the home network: obtaining home network measurement data of at least one home network parameter associated with a capacity of the home network, using an application layer protocol for remote management, said capacity being a measure for an amount of traffic that the home network can handle at one time; processing said home network measurement data to estimate the capacity of the home network or a parameter related thereto; based on the estimated capacity or parameter related thereto classifying said home network in a user QoS class.