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:
Jan. 23, 2024

Filed:

Nov. 08, 2021
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Dan Zhang, Leonberg, DE;

Jens Schwardmann, Hildesheim, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06T 3/40 (2006.01); H04B 17/391 (2015.01); H04L 41/147 (2022.01); H04L 41/16 (2022.01); H04L 43/091 (2022.01); H04L 43/55 (2022.01); H04W 16/18 (2009.01); H04W 16/22 (2009.01); H04W 24/06 (2009.01); H04W 24/10 (2009.01); H04W 80/08 (2009.01); H04W 84/02 (2009.01); H04W 88/18 (2009.01); H04W 92/02 (2009.01);
U.S. Cl.
CPC ...
H04W 16/22 (2013.01); G06N 3/04 (2013.01); G06T 3/4053 (2013.01); H04B 17/3912 (2015.01); H04B 17/3913 (2015.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 43/091 (2022.05); H04L 43/55 (2022.05); H04W 16/18 (2013.01); H04W 24/06 (2013.01); H04W 24/10 (2013.01); H04W 80/08 (2013.01); H04W 84/02 (2013.01); H04W 88/18 (2013.01); H04W 92/02 (2013.01);
Abstract

An apparatus () for determining a high-resolution QoS prediction map for a first radio communications network of a first environment is provided. The apparatus () comprises: a first input unit being configured to determine or provide environment information characterizing the first environment; a second input being configured to determine or provide a low-resolution QoS map associated with the first radio communications network of the first environment or a second radio communications network of a second environment; and a determination unit being configured to propagate the low-resolution QoS map and the environment information through a trained artificial deep neural network, wherein low-resolution QoS map and the environment information are provided as input parameters in an input section of the trained artificial deep neural network, and wherein the high-resolution QoS prediction map for the first radio communications network is provided in an output section of the trained artificial deep neural network.


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