US 11,696,144 B2
Primary signal detection via distributed machine learning coordinated across multiple user equipment devices
Stanley Vitebsky, Millburn, NJ (US)
Assigned to CACI, Inc.—Federal, Reston, VA (US)
Filed by CACI, Inc.—Federal, Arlington, VA (US)
Filed on Feb. 11, 2021, as Appl. No. 17/173,384.
Claims priority of provisional application 62/982,396, filed on Feb. 27, 2020.
Prior Publication US 2021/0274351 A1, Sep. 2, 2021
Int. Cl. H04W 16/14 (2009.01); H04W 4/38 (2018.01); G06N 20/00 (2019.01); H04W 4/80 (2018.01); H04W 84/04 (2009.01); H04W 88/06 (2009.01)
CPC H04W 16/14 (2013.01) [G06N 20/00 (2019.01); H04W 4/38 (2018.02); H04W 4/80 (2018.02); H04W 84/042 (2013.01); H04W 88/06 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
causing a first user equipment (UE) device, located in a predefined area, to determine a first machine learning model comprising a software application and configured to detect an anomaly in an RF environment associated with the predefined area;
receiving, by a controller, the first machine learning model comprising the software application from the first UE device;
sending, by the controller, the first machine learning model comprising the software application to a second UE device located in the predefined area; and
receiving, by the controller and from the second UE device, anomaly data indicative of an anomaly detected by the second UE device via the first machine learning model.