Verizon Patent and Licensing Inc.

Nokia Technologies Oy

Malathi Ponniah

Guillaume Decarreau

Berthold Panzner

Torsten Wildschek

Ugur Baran Elmali

Naveen Chintala

Kiran Kotaru

A device may receive time series data associated with a mobile network, and may process the time series data, with a bidirectional-long short-term memory (Bi-LSTM) model, to generate a preliminary mobile network traffic prediction. The device may apply an adaptive waterwheel plant optimization model, to the preliminary mobile network traffic prediction, to train the Bi-LSTM model and to generate a trained Bi-LSTM model. The device may process the preliminary mobile network traffic prediction, with the trained Bi-LSTM model, to generate a final mobile network traffic prediction, and may perform one or more actions based on the final mobile network traffic prediction.

Systems and methods for utilizing models to predict heterogeneous mobile network traffic

Growing community of inventors

Bengaluru, India

Malathi Ponniah