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. 30, 2026

Filed:

Sep. 20, 2023
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Hosein Nikopour, San Jose, CA (US);

Oner Orhan, San Jose, CA (US);

Vasuki Narasimha Swamy, San Francisco, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04W 52/22 (2009.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
H04W 52/223 (2013.01); G06N 3/08 (2013.01);
Abstract

The present disclosure discusses network energy savings (NES) machine learning (ML) models that predict NES parameters used to adjust control parameters of respective network nodes in a wireless network, wherein the NES parameters can be used by the respective network nodes to adjust their control parameters, such that the wireless network realizes or achieves NES as a whole. The wireless network is represented as a graph with heterogeneous vertices that represent corresponding network nodes and edges that represent connections between the network nodes. The NES ML model comprises a graph neural network (GNN) and a fully connected neural network (FCNN). The GNN may be a graph convolutional neural network or a graph attention network. The FCNN may be a multi-layer perceptron, a deep neural network, and/or some other type of neural network. Other embodiments may be described and/or claimed.


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