Systems and methods for utilizing machine learning and neural network models to identify issues in wireless networks
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United States of America Patent
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Feb 13, 2024
Grant Date -
Mar 23, 2023
app pub date -
Oct 6, 2022
filing date -
Nov 21, 2019
priority date (Note) -
In Force
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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.

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Patent Owner(s)
Patent Owner | Address | |
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VERIZON PATENT AND LICENSING INC | ONE VERIZON WAY BASKING RIDGE NJ 07920 |
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Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Delk, Richard S | Irmo, US | 3 | 8 |
Li, Xia | Sunnyvale, US | 444 | 4642 |
Ward, Brian A | Fort Worth, US | 18 | 19 |
Winter, Christian | Highland Village, US | 44 | 302 |
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