The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 17, 2025

Filed:

Jul. 27, 2022
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Di Wu, Saint-Laurent, CA;

Michael Jenkin, Toronto, CA;

Yi Tian Xu, Montreal, CA;

Xue Liu, Montreal, CA;

Xi Chen, Montreal, CA;

Gregory Lewis Dudek, Westmount, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/00 (2022.01); H04L 41/147 (2022.01); H04L 41/16 (2022.01);
U.S. Cl.
CPC ...
H04L 41/147 (2013.01); H04L 41/16 (2013.01);
Abstract

A method of forecasting a future load may include: obtaining source data sets and a target data set that have been collected from a plurality of source base stations and a target base station, respectively; among a plurality of source machine learning models, selecting at least one machine learn source model that has a traffic load prediction performance higher than that of a target machine learning model through a negative transfer analysis; obtaining model weights to be applied to the target machine learning model and the selected at least one source machine learning model via an attention neural network that is jointly trained with the target machine learning model and the selected source machine learning models; obtaining a load forecasting model for the target base station by combining the target machine learning model and the selected at least one source machine learning model according to the model weights; and predicting a future communication traffic load of the target base station based on the load forecasting model.


Find Patent Forward Citations

Loading…