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:
Mar. 14, 2023

Filed:

Mar. 02, 2020
Applicant:

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

Inventors:

Rami Jung, Suwon-si, KR;

Dongseop Lee, Suwon-si, KR;

Seongkyu Song, Suwon-si, KR;

Minkyong Kim, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 76/19 (2018.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); H04L 41/0668 (2022.01); H04L 41/147 (2022.01); H04L 41/149 (2022.01); H04L 41/16 (2022.01); H04L 43/0811 (2022.01); H04W 76/14 (2018.01); H04W 88/04 (2009.01); H04W 16/22 (2009.01); H04L 41/0631 (2022.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
H04W 76/19 (2018.02); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06N 3/04 (2013.01);
Abstract

An electronic apparatus and a control method are provided. The electronic apparatus includes a transceiver, a memory configured to store an artificial intelligence (AI) model, and a processor configured to control the transceiver to receive environment information from at least one of a plurality of devices that are connected to the electronic apparatus, determine that a predicted device of the plurality of devices will lose a network connection based on the first AI model and the environment information, and in response to determining the predicted device will lose the network connection, maintain the network connection of the predicted device through another device of the plurality of devices. The electronic apparatus may use a rule-based model or an AI model trained by using at least one of a machine learning algorithm, a neural network algorithm, or a deep-learning algorithm.


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