公开(公告)号：US20200293894A1

公开(公告)日：2020-09-17

申请号：US16429856

申请日：2019-06-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyukjoon KWON ,  Shailesh CHAUDHARI ,  Kee-Bong SONG

IPC: G06N3/08 ,  G06N3/04 ,  G06F16/28

Abstract: A method and system for multiple-input multiple-output (MIMO) detector selection using a neural network is herein disclosed. According to one embodiment, a method includes generating a labelled dataset of features and detector labels, training a multi-layer perceptron (MLP) network using the generated labelled dataset, and selecting a detector class from a plurality of detector classes based on outputs of the trained MLP network.

公开(公告)号：US20240113759A1

公开(公告)日：2024-04-04

申请号：US17988244

申请日：2022-11-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyukjoon KWON ,  Shailesh CHAUDHARI ,  Dongwoon BAI

IPC: H04B7/06 ,  H04B7/08

CPC classification number: H04B7/0634 ,  H04B7/0639 ,  H04B7/0857

Abstract: A method and an apparatus are provided in which a vector is generated from a covariance matrix of a received signal. The vector is input to a neural network to obtain an enhanced vector. The enhanced vector is converted into an enhanced matrix. Interference whitening is performed on the received signal using a whitening filter based on the enhanced matrix.

公开(公告)号：US20230297803A1

公开(公告)日：2023-09-21

申请号：US17834845

申请日：2022-06-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Shailesh CHAUDHARI ,  Hyukjoon KWON ,  Kee-Bong SONG ,  Dongwoon BAI

IPC: G06K19/07 ,  G06N3/08

CPC classification number: G06K19/0723 ,  G06N3/08

Abstract: A system and method for configuring an RF network based on machine learning. In some embodiments, the method includes: receiving, by a first neural network, a first state and a first state transition, the first state including: one or more identifiers for available active ports, and a set of available connections between two or more circuit elements, each of the circuit elements being one of: (1) a first circuit type, (2) a second circuit type that operatively connects a circuit element of the first circuit type to one of the available active ports, and (3) the available active ports; and generating, by the first neural network, a first estimated quality value, for the first state transition.

公开(公告)号：US20250055549A1

公开(公告)日：2025-02-13

申请号：US18543623

申请日：2023-12-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Shailesh CHAUDHARI ,  Hyuk Joon KWON ,  Karl CHAHINE

IPC: H04B7/06

Abstract: A system and a method are disclosed for performing beam tracking using a GNN. A method of beam prediction by a UE includes receiving an input feature vector; comparing the input feature vector to a lookup table of rated predicted beams; selecting a corresponding predicted beam having a highest rating from the lookup table; and receiving, from a base station, a signal using the selected predicted beam.

公开(公告)号：US20200293896A1

公开(公告)日：2020-09-17

申请号：US16738455

申请日：2020-01-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyukjoon KWON ,  Shailesh CHAUDHARI ,  Kee-Bong SONG

IPC: G06N3/08 ,  G06N3/04

Abstract: A method and system for training a neural network are herein provided. According to one embodiment, a method includes generating a first labelled dataset corresponding to a first modulation scheme and a second labelled dataset corresponding to a second modulation scheme, determining a first gradient of a cost function between a first neural network layer and a second neural network layer based on back-propagation using the first labelled dataset and the second labelled dataset, and determining a second gradient of the cost function between the second neural network layer and a first set of nodes of a third neural network layer based on back- propagation using the first labelled dataset. The first set of nodes of the third neural network layer correspond to a first plurality of detector classes associated with the first modulation scheme.