NETWORK ANOMALY DETECTION AND NETWORK PERFORMANCE STATUS DETERMINATION

A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if th...

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Bibliographic Details
Main Authors Su, Le, Schmidt, Christopher M, Pola, Shaun Robert, Iyer, Krishna Pichumani, Lu, Wenyuan, Ouyang, Ye, Shah, Maulik
Format Patent
LanguageEnglish
Published 16.04.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
WIRELESS COMMUNICATIONS NETWORKS
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Summary:A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if the datum is outside of a first range of values, and if the datum is inside the first range, the system may calculate a first base network performance health (NPH) score that is a function of the nodes, the categories, the data, and time. The system may also apply first deep learning to a first neural network among a plurality of neural networks to update first coefficients for correlating the first base NPH score to a mean opinion score, for each of the categories.
Bibliography:Application Number: US201916715458