US 11,991,661 B2
Determining geolocation of devices in a communication network
Imran Hafeez, Allen, TX (US)
Assigned to NETSCOUT SYSTEMS TEXAS, LLC, Westford, MA (US)
Filed by Netscout Systems Texas, LLC, Plano, TX (US)
Filed on May 17, 2023, as Appl. No. 18/198,409.
Application 18/198,409 is a continuation of application No. 17/401,059, filed on Aug. 12, 2021, granted, now 11,743,856.
Prior Publication US 2023/0309051 A1, Sep. 28, 2023
Int. Cl. H04W 64/00 (2009.01)
CPC H04W 64/00 (2013.01) 20 Claims
OG exemplary drawing
 
1. A machine learning method performed by a communication network monitoring device to determine a geolocation of user equipment (UE) communicatively coupled to a cellular communication network, comprising the steps:
receiving an incoming signaling record from a UE in the cellular communication network having radio signal attributes including a Timing Advance (TA) value;
executing a first machine learning model using the radio signal attributes of the incoming signaling record from the UE as input to determine a corrected TA value for the TA value included in the incoming signaling record; and
executing a second machine learning model using the radio signal attributes including the corrected TA value to determine a geo-location for the UE.