US 2022/0022076 A1Published application

Predicting whether a user of a wireless telecommunication network will report a problem

AssigneeT-Mobile USA, Inc.

InventorsAditi Saluja, Ting Zhang, Vikas Ranjan

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Abstract

Presented here is a method to predict whether a user of a wireless telecommunication network will report a problem 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 color-coded 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.

Claims20

Dependent claims

A method to predict whether a user of a wireless telecommunication network will report a problem associated with the wireless telecommunication network, the method comprising:

obtaining multiple key performance indicators (KPIs) describing a user experience with the wireless telecommunication network,
wherein the multiple KPIs comprise at least two of:
a billing account number (BAN) count, how long the user has been using the wireless telecommunication network, Reference Signals Received Power (RSRP), and Reference Signal Received Quality (RSRQ);
calculating at least a daily value of each KPI among the multiple KPIs by processing a KPI among the multiple KPIs according to a rule specific to the KPI;
creating an image representing a color-coded value of each KPI among the multiple KPIs,
wherein a first axis of the image represents the KPI among the multiple KPIs, and
wherein a second axis of the image represents the daily value of the KPI among the multiple KPIs;
and
predicting whether the user of the wireless telecommunication network will report the problem associated with the wireless telecommunication network 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.

8 more elements

At least one non-transient, computer-readable medium, carrying instructions that, when executed by at least one data processor, performs a method comprising:

obtaining multiple key performance indicators (KPIs) describing a user experience with a wireless telecommunication network;
calculating, at a first predetermined time period, a value of each KPI among the multiple KPIs by processing a KPI among the multiple KPIs according to a rule specific to the KPI;
creating an image representing a color-coded value of the KPI among the multiple KPIs,
wherein a first axis of the image represents the KPI among the multiple KPIs, and
wherein a second axis of the image represents the value of the KPI among the multiple KPIs;
and
predicting whether a user of the wireless telecommunication network will report a problem associated with the wireless telecommunication network 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.

6 more elements

A system comprising:

one or more processors;
and
memory coupled to the one or more processors, wherein the memory includes instructions executable by the one or more processors to:
obtain multiple key performance indicators (KPIs) describing a user experience with a wireless telecommunication network;
calculate, at a first predetermined time period, a value of each KPI among the multiple KPIs by processing a KPI among the multiple KPIs according to a rule specific to the KPI;
create an image representing a color-coded value of the KPI among the multiple KPIs,
wherein a first axis of the image represents the KPI among the multiple KPIs, and
wherein a second axis of the image represents the value of the KPI among the multiple KPIs;
predict whether a user of the wireless telecommunication network will report a problem associated with the wireless telecommunication network 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.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/932,618Filed 17 Jul 2020
Published: 20 Jan 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification18 codes

H04W 24/04
Supervisory, monitoring or testing arrangements: arrangements for maintaining operational condition
G06N 3/045
Architecture, e.g. interconnection topology: combinations of networks
G06N 3/0464
Architecture, e.g. interconnection topology: convolutional networks [CNN, ConvNet]
G06N 3/084
Learning methods: backpropagation, e.g. using gradient descent

Family

US 11,337,096 B2Related patent
US 2022/0022076 A1This patent

From the US filing history. Foreign family members aren’t listed.

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