System and method for throughput prediction for cellular networks

US10693575B2 · kind B2 · utility

Assignees

• AT&T Intellectual Property I, L.P. · US
• UNIVERSITY COLLEGE CORK—NATIONAL UNIVERSITY OF IRELAND, Cork · IE

Inventors

• Rittwik Jana · Montville, US
• Emir Halepovic · Raritan, US
• Rakesh Sinha · Cupertino, US
• Vijay Gopalakrishnan · Edison, US
• Ahmed Zahran · Cork, IE
• Darijo Raca · Cork, IE
• Cormac John Sreenan · Morris, US
• Balagangadhar Bathula · Lawrenceville, US
• Matteo Varvello · Port Monmouth, US

Key dates

• Filing date: Aug 31, 2018
• Grant date: Jun 23, 2020
• Expiry date: Aug 31, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Aspects of the subject disclosure may include, for example, a method in which a processing system identifies a plurality of performance indicators comprising device performance indicators for a plurality of communication devices on a cellular network and network performance indicators for the cellular network. The method also includes obtaining historical data regarding the plurality of performance indicators for each of a series of time points during a past time period; the historical data for each of the plurality of performance indicators form an array of values for that performance indicator. The method further includes generating from each array a set of inputs to an algorithm for predicting a throughput of the cellular network during a future time period; the set of inputs comprises quantiles of the array, and the algorithm comprises a machine learning algorithm. Other embodiments are disclosed.