Shaun R Pola

US Patent:

20200120520, Apr 16, 2020

Filed:

Dec 16, 2019

Appl. No.:

16/715458

Inventors:

- Arlington VA, US
Le Su - Edison NJ, US
Krishna Pichumani Iyer - Basking Ridge NJ, US
Christopher M. Schmidt - Branchburg NJ, US
Wenyuan Lu - Raritan NJ, US
Shaun Robert Pola - Austin TX, US
Maulik Shah - Carrollton TX, US

International Classification:

H04W 24/04
H04W 24/02
G06N 3/04
G06N 3/08

Abstract:

A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if the datum is outside of a first range of values, and if the datum is inside the first range, the system may calculate a first base network performance health (NPH) score that is a function of the nodes, the categories, the data, and time. The system may also apply first deep learning to a first neural network among a plurality of neural networks to update first coefficients for correlating the first base NPH score to a mean opinion score, for each of the categories.

US Patent:

20190239101, Aug 1, 2019

Filed:

Jan 26, 2018

Appl. No.:

15/880855

Inventors:

- Arlington VA, US
Le Su - Edison NJ, US
Krishna Pichumani Iyer - Basking Ridge NJ, US
Christopher M. Schmidt - Branchburg NJ, US
Wenyuan Lu - Raritan NJ, US
Shaun Robert Pola - Austin TX, US
Maulik Shah - Carrollton TX, US

International Classification:

H04W 24/04
G06N 3/08
G06N 3/04

Abstract:

A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if the datum is outside of a first range of values, and if the datum is inside the first range, the system may calculate a first base network performance health (NPH) score that is a function of the nodes, the categories, the data, and time. The system may also apply first deep learning to a first neural network among a plurality of neural networks to update first coefficients for correlating the first base NPH score to a mean opinion score, for each of the categories.