Verizon Patent and Licensing Inc.

Xia Li

Christian Winter

Brian A Ward

Richard S Delk

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.

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

A method, a device, and a non-transitory storage medium are described in which an island tracking area code detection and remedial service is provided. A device may detect an island tracking area code cell based on a predicted optimal tracking area code. The device calculates scores for neighbor cells and their corresponding tracking area codes based on the distances of the neighbor cells from a target cell. The device may select the predicted optimal tracking area code based on these scores. The device may use the predicted optimal tracking area code as a basis to determine whether a tracking area code assigned to the target cell is an island tracking area code cell. The device may perform a remedial measure when an island tracking area code cell is detected.

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Burlington, MA, United States of America

Xia Li