Patent ID: 11917422
Assignee: DELL PRODUCTS L.P.
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 7:
8. A method of training a neural network for an intelligent throughput performance analysis and issue detection system, comprising:
gathering, via a plurality of information handling systems transceiving data via wireless links in a controlled laboratory, and for each wireless link, a test measured throughput value and controlled connectivity testing metrics describing antenna positional information, antenna adaptation controller parameters, signal strength measurements, and wireless link performance metrics;
modeling a relationship between the controlled connectivity testing metrics and a test predicted throughput value for wireless links transceiving data according to the controlled connectivity testing metrics through a multi-layer, feed-forward neural network;
training the neural network by inputting the controlled connectivity testing metrics for each of the plurality of information handling systems and back-propagating to minimize a first error signal measuring a difference between the test predicted throughput value and the test measured throughput value; and
loading the trained neural network onto a first information handling system within the plurality of information handling systems for predicting throughput of a future-established wireless link between the first information handling system and a remote wireless network, based on input values gathered during transceiving of data via the future-established wireless link.