EVALUATING 3G AND VOICE OVER LONG TERM EVOLUTION VOICE QUALITY

Patent №

US 9,119,086

Granted

2015-08-25

Filed 2014

Owner

CELLCO PARTNERSHIP D/B/A VERIZON WIRELESS

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14273433

Systems and methods for evaluating cellular voice call quality are disclosed. In some implementations, training data points are received. Each data point includes a call quality value and values of key performance indicators (KPIs) related to call quality. For each KPI, a linear relationship, having a goodness-of-fit value, between the KPI and the call quality value is determined using the multiple data points. Compulsory KPIs are selected based on the goodness-of-fit values. The training data points are separated into clusters based on the compulsory KPI values and the quality values. For each cluster, a mathematical relationship for calculating the call quality within the cluster is determined based on the one or more compulsory KPIs. A module is generated for predicting the call quality value by combining the determined mathematical relationships.

AI classification

Planning1.00
Natural language1.00
Machine learning1.00
Knowledge representation0.96
Vision0.62
AI hardware0.61
Evolutionary computation0.00
Speech0.00

Ownership

CELLCO PARTNERSHIP D/B/A VERIZON WIRELESS

assignment · 328540144

Assignors

OUYANG, YE, BECHT, CAROL, LOWE, BENJAMIN

On an employer assignment, the assignors are typically the inventors.

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