VoIP Subscriber Device Categorization via Test Call Quality Data

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Solution Overview

Problem

Existing VoIP test call systems lack the ability to dynamically characterize and automatically categorize VoIP subscriber devices based on VoIP test and call quality data, requiring manual monitoring and analysis by network operators.

Innovation Solution

Implementing a method and system that creates VoIP test call lists, assigns subscriber device numbers to these lists based on test call types and frequencies, and automatically reassesses and reassigns them based on test results and call quality data, using a computer-readable medium to execute instructions for categorization and reassignment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual monitoring and analysis of PESQ scores is performed by network operators, then test call systems can identify poor voice path connections, but the process requires significant human time and effort

Engineering Contradiction:

Improvevoice quality measurementVSAvoidmanual monitoring time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic self-service by implementing algorithms that autonomously analyze PESQ scores, categorize subscriber devices into test lists based on voice quality metrics, and trigger appropriate actions without requiring manual operator intervention. The system serves itself by automatically processing test call results and making deployment decisions.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual monitoring process with an automated computational system. Algorithms substitute human operators to perform the analysis of PESQ scores, categorization of devices, and determination of test call deployment, transforming a manual operational process into an automated electronic system.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If test call frequency is increased to improve monitoring accuracy, then voice quality issues can be detected more reliably, but network resources are consumed more heavily

Engineering Contradiction:

Improvevoice quality monitoring reliabilityVSAvoidnetwork resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies local quality by differentiating test call frequencies and types based on the specific voice quality characteristics of individual subscriber devices. Devices are categorized into different test lists according to their PESQ scores and voice path conditions, with each list receiving appropriately tailored test call parameters rather than uniform treatment.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system implements partial action by adjusting test call frequency and intensity based on device category. Rather than applying maximum monitoring to all devices, the system applies appropriate levels of monitoring - more intensive for devices with poor voice quality metrics and less intensive for devices with good metrics - thereby optimizing resource usage.

Inventive Principle:

Principle #16Partial or excessive action

3Adaptability or versatility

If multiple test call lists with different frequencies and types are created, then testing can be optimized for different device categories, but system complexity increases

Engineering Contradiction:

Improvetest call customizationVSAvoidtest call system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments subscriber devices into multiple test lists based on voice quality metrics and device characteristics. This segmentation allows different categories of devices to be tested with appropriate frequencies and types, transforming a monolithic testing approach into a structured multi-category system that balances adaptability with manageability.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS8081578B2Methods, systems, and computer readable media for automatically categorizing voice over internet protocol (VoIP) subscriber devices in accordance with VoIP test and call quality data

Publication Date: 2011.12.20 KEYSIGHT TECH SINGAPORE (SALES) PTE LTD

AI summary

Methods, systems, and computer readable media for categorizing voice over Internet Protocol (VoIP) subscriber device numbers in accordance to test call results are disclosed. In one embodiment, a method includes creating a plurality of VoIP test call lists within a test call system and assigning VoIP subscriber device numbers to the plurality of VoIP test call lists. Each of VoIP subscriber device numbers is tested based on the test call list to which each of the VoIP subscriber device numbers is assigned, wherein each test call list corresponds to at least one of a test call type and a test call frequency associated with the test call list. The method also includes obtaining call quality data for at least one of the VoIP subscriber device numbers and automatically reassigning one or more of the VoIP subscriber device numbers to a different test call list based on at least one of results of the testing and the call quality data.