SYSTEM AND METHOD FOR THROUGHPUT PREDICTION FOR CELLULAR NETWORKS

Patent №

US 10,693,575

Granted

2020-06-23

Filed 2018

Owner

AT&T INTELLECTUAL PROPERTY I, L.P.

+1 more

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16118796

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.

Machine learningNatural languageKnowledge representationPlanningAI hardwareH04B 17/373G06N 3/0442G06N 3/09G06N 20/00H04B 17/327H04B 17/382H04B 17/3913H04L 43/0888+9 more

AI classification

Machine learning0.99
AI hardware0.82
Knowledge representation0.82
Planning0.74
Natural language0.63
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

AT&T INTELLECTUAL PROPERTY I, L.P.

assignment · 468620687

UNIVERSITY COLLEGE CORK-NATIONAL UNIVERSITY OF IRELAND, CORK

assignment · 515820046

Assignors

JANA, RITTWIK, HALEPOVIC, EMIR, SINHA, RAKESH, GOPALAKRISHNAN, VIJAY, BATHULA, BALAGANGADHAR, VARVELLO, MATTEO

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC