US Patent Issued to T-Mobile USA on Dec. 23 for "Dynamic estimation of real-time distribution density of wireless devices using machine learning models" (California, Washington Inventors)

ALEXANDRIA, Va., Dec. 23 -- United States Patent no. 12,507,038, issued on Dec. 23, was assigned to T-Mobile USA Inc. (Bellevue, Wash.).

"Dynamic estimation of real-time distribution density of wireless devices using machine learning models" was invented by Antoine T. Tran (Issaquah, Wash.) and Alexander Anh Tran (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method generates an estimate of a real-time distribution density of wireless devices in a geographic area. The method includes receiving real-time network activity data collected at cell sites. The method includes processing the real-time network activity data with an ML model. The ML model is trained based on non-real-...