US 11,706,112 B1
Machine learning (ML) optimization for 5G connected and automated mobility (CAM) services
Stelios Christofi, Nicosia (CY); Fanos Christofi, Nicosia (CY); and Loizos Christofi, Nicosia (CY)
Assigned to eBOS Techologies, Nicosia (CY)
Filed by eBOS Technologies, Nicosia (CY)
Filed on Nov. 20, 2022, as Appl. No. 17/990,701.
Claims priority of application No. 20220100816 (GR), filed on Oct. 4, 2022.
Int. Cl. G06F 15/177 (2006.01); H04L 43/08 (2022.01); H04L 41/16 (2022.01)
CPC H04L 43/08 (2013.01) [H04L 41/16 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for 5G connected and automated mobility (CAM) services modeling for optimization comprising:
defining different 5G communications network configuration parameters configuring a 5G cellular communications network encompassing a geographic region supporting vehicle movements;
assigning different values to each of the different parameters in different sets of network configurations and correlating each of the different sets with corresponding CAM performance metrics of the vehicle movements;
storing the correlated sets in a data structure; and,
querying the data structure with a new set of values for the parameters and receiving in response to the querying, correlated ones of the corresponding CAM performance metrics.