T-Mobile USA, Inc.

T-Mobile Innovations LLC

Syed Umair Ahmed

Antoine T Tran

Emile Minh Tran

Vikas Ranjan

Aditi Saluja

Julio C Costa

A method for a base station in communication with a user device through a wireless communications network is described. The method includes communicating with a user device on a current frequency through a wireless communications network. The method may also include determining, based at least in part on a model, a probability that a higher capacity may be acquired by the user device on a frequency other than the current frequency; predicting a first recommended frequency for the user device that is likely to have a higher capacity than the current frequency; instructing the user device to scan the first recommended frequency; receiving an indication from the user device that the first recommended frequency has a higher capacity than the current frequency; and communicating with the user device on the first recommended frequency.

Predictive model for high-capacity frequencies in mobile broadband

Techniques for clustering network elements of a telecommunication network are described herein. For instance, a machine learned model can cluster cells based on a combination of network data, user equipment data, location data, and map data. Clusters output from the machine learned model can be compared to each other to identify an underperforming cell, to generate recommendations that improve performance of a cell, and/or to determine performance benchmarks for cells or networks across different geographical regions.

Network clustering determination

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Dublin, CA, United States of America

Syed Umair Ahmed