18489800. MACHINE LEARNING BASED NETWORK DRIVE TEST PRIORITIZATION (DISH Wireless L.L.C.)
MACHINE LEARNING BASED NETWORK DRIVE TEST PRIORITIZATION
Organization Name
Inventor(s)
Ahmed Alkarboly of Denver CO US
Jennings Orcutt of Denver CO US
David Ricardo Bentolila Sapiani of Littleton CO US
MACHINE LEARNING BASED NETWORK DRIVE TEST PRIORITIZATION
This abstract first appeared for US patent application 18489800 titled 'MACHINE LEARNING BASED NETWORK DRIVE TEST PRIORITIZATION
Original Abstract Submitted
Technologies for network drive test prioritization based on machine learning are disclosed. An example method includes feeding a representation of routes of a target candidate drive test to a trained machine learning model to obtain a drive test prediction, wherein the trained machine learning model is trained based on integrating radio frequency (RF) estimations or predictions with past drive test data. The method also includes sorting a set of candidate drive tests for the communications network including the target candidate drive test, based on drive test predictions associated with each candidate drive test, to determine priorities for executing drive tests; and determining expectation of network usability in accordance with network availability and performance metrics.