US 12,075,452 B2
Facilitation of radio access network intelligent controller resource preservation framework for 5G or other next generation network
Zhi Cui, Sugar Hill, GA (US); Sangar Dowlatkhah, Cedar Hill, TX (US); and Paul Smith, Jr., Heath, TX (US)
Assigned to AT&T Intellectual Property I, L.P., Atlanta, GA (US); and AT&T Mobility II LLC, Atlanta, GA (US)
Filed by AT&T Intellectual Property I, L.P., Atlanta, GA (US); and AT&T Mobility II LLC, Atlanta, GA (US)
Filed on Jan. 20, 2023, as Appl. No. 18/157,404.
Application 18/157,404 is a continuation of application No. 16/801,947, filed on Feb. 26, 2020, granted, now 11,582,757.
Prior Publication US 2023/0156760 A1, May 18, 2023
Int. Cl. H04W 72/53 (2023.01); G06N 20/00 (2019.01); H04W 4/20 (2018.01); H04W 24/08 (2009.01); H04W 64/00 (2009.01)
CPC H04W 72/53 (2023.01) [G06N 20/00 (2019.01); H04W 4/20 (2013.01); H04W 24/08 (2013.01); H04W 64/006 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
analyzing, by a network device comprising a processor, using a machine learning model, a group of user equipment travelling within a defined area of a network resource to determine a predicted utilization of the network resource by the group of user equipment, wherein the network resource facilitates radio network connectivity and is operating according to a first configuration of a resource allocation of the network resource; and
initiating, by the network device, using the machine learning model and based on the predicted utilization of the network resource by the group of user equipment, a second configuration of the resource allocation of the network resource to the group of user equipment, wherein the second configuration of the resource allocation reduces an energy usage of the network resource as compared to the first configuration, and wherein the second configuration modifies a quantity of active radios of the network resource as compared to the first configuration.