US 2026/0312878 A1Published application

Machine learning based rating failure characterization in wireless communication networks

AssigneeT-Mobile Innovations LLC

InventorsShrustishree Sumanth, Bhanu Prasad, Jyot Kumar, Troy Angelo Duncan

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Abstract

Various embodiments include a system that comprises machine learning circuitry in a communication network. The machine learning circuitry obtains a call log from a Charging Function (CHF) in the communication network that indicates a rating failure for a data session for a user device. The machine learning circuitry generates a feature vector that numerically represents the call log. The machine learning circuitry utilizes a machine learning algorithm to process the feature vector and generate a machine learning output that indicates the cause of the rating failure. The machine learning circuitry generates an alert that identifies the cause of the rating failure and transfers the alert to a controller in the communication network. The controller interfaces with the CHF to correct the cause of the rating failure based on the alert.

Claims20

Dependent claims

A method comprising:

obtaining, by a machine learning system in a communication network, a call log from a Charging Function (CHF) in the communication network, wherein the call log indicates a rating failure for a data session associated with a user device and the rating failure indicates the CHF is unable to select a monetary rate to charge the user device for the data session;
generating, by the machine learning system, a feature vector that numerically represents the call log;
utilizing, by the machine learning system, a machine learning algorithm trained to determine causes of rating failures by the CHF to process the feature vector and generate a machine learning output that indicates a cause of the rating failure for the data session associated with the user device;
generating, by the machine learning system, an alert that identifies the cause of the rating failure based on the machine learning output;
and
transferring, by the machine learning system, the alert to a controller in the communication network wherein the controller interfaces with the CHF to correct the cause of the rating failure for the data session associated with the user device.

3 more elements

A system comprising:

machine learning circuitry in a communication network configured to:
obtain a call log from a Charging Function (CHF) in the communication network, wherein the call log indicates a rating failure for a data session associated with a user device and the rating failure indicates the CHF is unable to select a monetary rate to charge the user device for the data session;
generate a feature vector that numerically represents the call log;
utilize a machine learning algorithm trained to determine causes of rating failures by the CHF to process the feature vector and generate a machine learning output that indicates the cause of the rating failure for the data session associated with the user device;
generate an alert that identifies the cause of the rating failure based on the machine learning output;
and
transfer the alert to a controller in the communication network wherein the controller interfaces with the CHF to correct the cause of the rating failure for the data session associated with the user device based on the alert.

4 more elements

One or more non-transitory computer readable storage media having program instructions stored thereon, wherein the program instruction, when executed by a computing system, direct the computing system to perform operations, the operations comprising:

obtaining a call log from a Charging Function (CHF) in a communication network, wherein the call log indicates a rating failure for a data session associated with a user device and the rating failure indicates the CHF is unable to select a monetary rate to charge the user device for the data session;
generating a feature vector that numerically represents the call log;
utilizing a machine learning algorithm trained to determine causes of rating failures by the CHF to process the feature vector and generate a machine learning output that indicates the cause of the rating failure for the data session associated with the user device;
generating an alert that identifies the cause of the rating failure based on the machine learning output;
and
transferring the alert to a controller in the communication network.

3 more elements

Dependencies are inferred from the claim text.