US Patent Issued to Verizon Patent and Licensing on Dec. 16 for "Systems and methods for selecting a machine learning model that predicts a subscriber network experience in a geographic area" (Massachusetts, New Jersey, North Carolina Inventors)

ALEXANDRIA, Va., Dec. 16 -- United States Patent no. 12,501,288, issued on Dec. 16, was assigned to Verizon Patent and Licensing Inc. (Basking Ridge, N.J.).

"Systems and methods for selecting a machine learning model that predicts a subscriber network experience in a geographic area" was invented by Timothy E. Coyle (Chicopee, Mass.), Deborah Lynn Liske (Durham, N.C.), Matthew Kapala (North Billerica, Mass.) and Syed Rehman (South Brunswick, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device may receive network data identifying key performance indicators associated with a base station and user equipment (UEs), UE data identifying UE data records and UE locations, and geographic data identifying a g...