The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 10, 2020

Filed:

Feb. 11, 2019
Applicant:

T-mobile Usa, Inc., Bellevue, WA (US);

Inventors:

Otto Fonseca Escudero, Bellevue, WA (US);

Gary Dousson, Seattle, WA (US);

Marie Grace Jacinto, Bellevue, WA (US);

Khrum Kashan Jat, Sammamish, WA (US);

Jatinder Singh Sandhu, New Castle, WA (US);

Assignee:

T-Mobile USA, Inc., Bellevue, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 16/22 (2009.01); H04W 24/10 (2009.01); H04B 17/309 (2015.01); H04W 28/02 (2009.01); H04B 17/391 (2015.01); H04W 24/08 (2009.01);
U.S. Cl.
CPC ...
H04W 16/22 (2013.01); H04B 17/309 (2015.01); H04B 17/391 (2015.01); H04W 24/08 (2013.01); H04W 24/10 (2013.01); H04W 28/0268 (2013.01);
Abstract

Systems and methods are described for monitoring performance and allocating resources to improve the performance of a wireless telecommunications network. A wireless telecommunications network may be comprised of base stations and other infrastructure equipment, which may be sourced from various suppliers. Users may generate traffic on the wireless network, and performance metrics relating to the user experience may be collected from individual base stations. The set of available metrics for a particular base station may vary according to the supplier. A machine learning model is thus trained using metrics from multiple base stations, and used to estimate values for metrics that a particular base station does not provide. The metrics are then further characterized according to the service classes of the users, and resources for improving the performance of base stations are allocated according to the reported and estimated metrics for various service classes.


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