Patent Document ID: 9439081
Application ID: 14172686
Patent Flag: 1

Claim One:
1. A computer-implemented method of forecasting wireless network performance, the method comprising: receiving historical performance data and baseline data for a cell in a network, wherein the historical performance data comprises a plurality of key performance indicators (KPIs); receiving, from a user, a selection of a first KPI in the plurality of KPIs; applying a machine learning model to the first KPI and a second KPI in the plurality of KPIs to identify a relationship between the first KPI and the second KPI; applying the machine learning model to the first KPI and a third KPI in the plurality of KPIs to identify a second relationship between the first KPI and the third KPI; determining that a correlation between the first KPI and the third KPI is greater than a threshold correlation value based on the identified second relationship; generating a first model parameter based on the identified relationship between the first KPI and the second KPI; generating a second model parameter based on the identified second relationship between the first KPI and the third KPI in response to the determination that the correlation between the first KPI and the third KPI is greater than the threshold correlation value; applying the baseline data to the first model parameter and the second model parameter; and calculating a predicted value of the first KPI for the cell in the network based on the application of the baseline data to the first model parameter and the second model parameter; wherein at least said calculating is performed by a computer system comprising computer hardware.