US 11,902,817 B2 · Systems and methods for utilizing machine learning and neural network models to identify issues in wireless networks

Abstract

A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.

Claims20

Dependent claims

A method, comprising:

extracting, by a device, data from input data to generate extracted data identifying a quantity of radio frequency branches and data identifying a bandwidth,
wherein the data includes time and date data, branch identification data, and interference per physical resource block number data associated with a wireless network;
creating, by the device, physical resource block images based on the extracted data;
processing, by the device, the physical resource block images to associate labels with each of the physical resource block images and to identify potential issues associated with the physical resource block images;
processing, by the device, data identifying the potential issues, with a machine learning model, to determine probability scores associated with the potential issues;
and
performing, by the device, one or more actions based on a potential issue, of the potential issues, that has a greatest probability score, of the probability scores.

4 more elements

A device, comprising:

one or more memories;
and
one or more processors, communicatively coupled to the one or more memories, configured to:
receive input data that includes time and date data, branch identification data, and interference per physical resource block number data associated with a wireless network;
extract data from the input data to generate extracted data identifying a quantity of radio frequency branches and data identifying a bandwidth;
create physical resource block images based on the extracted data;
process the physical resource block images to associate labels with each of the physical resource block images and to identify potential issues associated with the physical resource block images;
process data identifying the potential issues, with a machine learning model, to determine probability scores associated with the potential issues;
and
perform one or more actions based on a detected issue, of the potential issues, that has a greatest probability score, of the probability scores.

7 more elements

A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to:
receive input data that includes time and date data, branch identification data, and interference per physical resource block number data associated with a wireless network;
extract data from the input data to generate extracted data identifying a quantity of radio frequency branches and data identifying a bandwidth;
create physical resource block images based on the extracted data;
process the physical resource block images to associate labels with each of the physical resource block images and to identify potential issues associated with the physical resource block images;
process data identifying the potential issues, with a machine learning model, to determine probability scores associated with the potential issues;
select a potential issue with a greatest probability score as a detected issue associated with the wireless network;
and
perform one or more actions based on the detected issue.

6 more elements

Dependencies are inferred from the claim text.

Systems and methods for utilizing machine learning and neural network models to identify issues in wireless networks

Life of this patent

Systems and methods for utilizing machine learning and neural network models to identify issues in wireless networks

Life of this patent

Abstract

Claims20