Ting Zhang

US Patent:

20220248250, Aug 4, 2022

Filed:

Apr 18, 2022

Appl. No.:

17/723180

Inventors:

- Bellevue WA, US
Ting Zhang - Bellevue WA, US
Vikas Ranjan - Bellevue WA, US

International Classification:

H04W 24/10
H04L 41/5009
G06N 20/00
H04B 17/318
H04W 4/24

Abstract:

Presented here is a method to predict whether a user of a wireless telecommunication network will report a problem or issue associated with the wireless telecommunication network. A processor can obtain multiple key performance indicators (KPIs) describing a user experience with the wireless telecommunication network. The processor can calculate at least a daily value of each KPI according to a rule specific to the KPI. The processor can create an image representing a value of each KPI, where a first axis of the image identifies the KPI, and where a second axis of the image represents the daily value of the KPI. The processor can predict whether the user of the wireless telecommunication network will report the problem by providing the image to a machine learning model and receiving a prediction from the machine learning model whether the user of the wireless telecommunication network will report the problem.

US Patent:

20190104427, Apr 4, 2019

Filed:

Sep 28, 2018

Appl. No.:

16/147309

Inventors:

- Bellevue WA, US
Doris Ho - Bellevue WA, US
Ting Zhang - Bellevue WA, US

International Classification:

H04W 24/08
H04M 3/51
H04M 3/22

Abstract:

Systems and methods are described herein for analyzing the performance of a communications network (e.g., a mobile telecommunications network) using customer-centric and/or subscriber-centric data and information. In some embodiments, the systems and method may determine key performance indicators for a communications network by accessing call detail records from multiple communications network sources, generating a database of one or more customer stats table (CSTs) based on the accessed call records, wherein the CSTs include records for each individual customers of the communications network, and determining one or more key performance indicators (KPIs) for the overall network based on the records stored by the one or more customer stats tables.

US Patent:

20180270346, Sep 20, 2018

Filed:

Mar 17, 2017

Appl. No.:

15/462735

Inventors:

- Bellevue WA, US
Le Roy Munar - Snoqualmie WA, US
Ting Zhang - Bellevue WA, US
Baquer Ali Chabuk Savar - Bellevue WA, US
Muhammad Tawhidur Rahman - Bellevue WA, US

International Classification:

H04M 3/22
H04M 15/00
H04L 29/06

Abstract:

Systems and methods are described herein for determining dropped call rates (DCR) for various communications networks, such as IP Multimedia Networks (IMS), which include Voice over LTE (VoLTE) networks. For example, the systems and methods utilize data (e.g. abnormal cause codes) generated by layers of the IMS networks, such as a Session Initiation Protocol (SIP) layer of the IMS network, when determining dropped call rates for IMS networks.

US Patent:

20180270678, Sep 20, 2018

Filed:

Mar 17, 2017

Appl. No.:

15/462746

Inventors:

- Bellevue WA, US
Doris Ho - Bellevue WA, US
Ting Zhang - Bellevue WA, US

International Classification:

H04W 24/08
H04M 3/22

Abstract:

Systems and methods are described herein for analyzing the performance of a communications network (e.g., a mobile telecommunications network) using customer-centric and/or subscriber-centric data and information. In some embodiments, the systems and method may determine key performance indicators for a communications network by accessing call detail records from multiple communications network sources, generating a database of one or more customer stats table (CSTs) based on the accessed call records, wherein the CSTs include records for each individual customers of the communications network, and determining one or more key performance indicators (KPIs) for the overall network based on the records stored by the one or more customer stats tables.