US 11,871,244 B2
Primary signal detection using distributed machine learning in multi-area environment
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. 17/173,396.
Claims priority of provisional application 62/982,396, filed on Feb. 27, 2020.
Prior Publication US 2021/0274352 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:
determining, by a controller, that a first user equipment (UE) device moved to a first predefined area from a second predefined area;
sending, by the controller and to the first UE device, a first machine learning model configured to detect an anomaly in an RF environment associated with the first predefined area; and
receiving, by the controller and from the first UE device, anomaly data indicative of an anomaly detected by the first UE device via the first machine learning model.