Real-Time Network Quality Reporting via Endpoint Self-Monitoring
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Solution Overview
Problem
Existing methods for evaluating and maintaining communication network quality are costly and inefficient, requiring lengthy testing processes that result in delayed responses to quality degradation issues reported by end-users, who often need to repeat their reports multiple times to resolve problems.
Innovation Solution
End-users can report quality issues in real-time to service providers, who analyze communication links by transmitting and receiving data test packets to generate statistics for immediate quality reports, enabling real-time monitoring, problem isolation, and adjustments to improve connection quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional signaling methods (DTMF, touch-tone) are used to report quality issues, then end-users can report problems, but the response time is delayed and users must repeat reports multiple times
Solution Approach 1:
The system implements real-time feedback by automatically generating and transmitting quality reports from the endpoint device to the service provider as soon as quality degradation is detected. This eliminates the delay of manual user reporting and repeated calls, as the system continuously monitors and immediately communicates quality issues back to the provider for swift action.
Solution Approach 2:
The endpoint device performs self-monitoring of communication quality metrics and automatically generates quality reports without requiring user intervention or repeated manual reporting. The device itself services the quality monitoring function, detecting issues and transmitting reports autonomously, which resolves the reliability and timing problems of traditional user-initiated reporting.
2Measurement precision
If lengthy testing processes are used to evaluate network quality, then comprehensive quality assessment is achieved, but response time to quality degradation increases substantially
Solution Approach 1:
The system performs continuous partial monitoring of key quality metrics (signal strength, noise level, packet loss) at the endpoint device rather than conducting comprehensive lengthy testing cycles. By continuously measuring essential parameters and immediately reporting deviations, the system achieves timely detection without the substantial delays of traditional extended testing processes.
Solution Approach 2:
The endpoint device continuously monitors communication quality metrics in advance and proactively generates quality reports before significant degradation occurs or when thresholds are breached. This preliminary detection and reporting mechanism eliminates the need for lengthy post-problem testing, as issues are identified and reported in real-time.
3Ease of operation
If manual user reporting is used for communication quality issues, then users can notify providers, but the process is costly and requires multiple repeated reports
Solution Approach 1:
The endpoint device automatically performs quality monitoring and generates reports without requiring user action. This eliminates the need for users to manually notify providers multiple times, as the system self-services the quality assessment and reporting function, reducing both operational complexity and associated costs.
Solution Approach 2:
The system implements automated feedback loops where quality metrics are continuously measured and reported to the service provider without user intervention. This automated feedback mechanism replaces costly manual reporting processes, as the system autonomously communicates quality status and issues, eliminating the need for repeated user-initiated contact.
Data Source
AI summary
Method for user-aided communication evaluation and performance and for producing a quality report regarding a communication connection entails signaling of a services provider by a first endpoint user in real-time entails establishing a first communication link between the first endpoint user and a second endpoint user. A second communication link between the first end point user and the services provider is determined. The methods continue by analyzing of the first and second communication links for quality by the services provider and generating statistics based on the analysis for quality in the connection. The methods can conclude by producing a quality report using those statistics. The quality report can initiate an immediate response in real-time or can be stored for a later response.