公开(公告)号：US20230376784A1

公开(公告)日：2023-11-23

申请号：US18198140

申请日：2023-05-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Mostafa Ahmed Hassan HUSSEIN ,  Yi Tian Xu ,  Di Wu ,  Xue Liu ,  Gregory Lewis Dudek

IPC: G06N3/096 ,  G06N3/0455

CPC classification number: G06N3/096 ,  G06N3/0455

Abstract: Methods, systems, and apparatuses for managing sensor data, including receiving encoded data at a first device from a second device separate from the first device, wherein the encoded data is generated using an artificial intelligence (AI) encoder model included in the second device based on sensor data collected by at least one sensor included in the second device; providing the encoded data to an AI inference model to obtain inference information; and performing a task based on the inference information, wherein the AI encoder model and the AI inference model are jointly trained based on an output of an AI teacher model

公开(公告)号：US11825371B2

公开(公告)日：2023-11-21

申请号：US17334018

申请日：2021-05-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Jikun Kang ,  Yi Tian Xu ,  Jimmy Li ,  Michael Jenkin ,  Xue Liu ,  Xi Chen ,  Gregory Lewis Dudek ,  Intaik Park ,  Taeseop Lee

IPC: H04W36/22 ,  H04W36/08 ,  G06N3/08 ,  G06N20/00 ,  H04W48/06 ,  G06N3/045

CPC classification number: H04W36/22 ,  G06N3/045 ,  G06N3/08 ,  G06N20/00 ,  H04W36/08 ,  H04W48/06

Abstract: An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.

公开(公告)号：US20230247509A1

公开(公告)日：2023-08-03

申请号：US18133845

申请日：2023-04-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jikun KANG ,  Xi Chen ,  Di Wu ,  Yi Tian Xu ,  Xue Liu ,  Gregory Lewis Dudek ,  Taeseop Lee ,  Intaik Park

IPC: H04W36/22 ,  H04W28/086 ,  G06N3/08 ,  H04W24/02 ,  G06N3/044

CPC classification number: H04W36/22 ,  H04W28/0808 ,  G06N3/08 ,  H04W24/02 ,  G06N3/044

Abstract: Hybrid use of dual policies is provided to improve a communication system. In a multiple access scenario, when an inactive user equipment (UE) transitions to an active state, it may be become a burden to a radio cell on which it was previously camping. In some embodiments, hybrid load balancing is provided using a hierarchical machine learning paradigm based on reinforcement learning in which an LSTM generates a goal for one policy influencing cell reselection so that another policy influencing handover over active UEs can be assisted. The communication system as influenced by the policies is modeled as a Markov decision process (MDP). The policies controlling the active UEs and inactive UEs are coupled, and measureable system characteristics are improved. In some embodiments, policy actions depend at least in part on energy saving.

公开(公告)号：US11696153B2

公开(公告)日：2023-07-04

申请号：US17391708

申请日：2021-08-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi Chen ,  Ju Wang ,  Hang Li ,  Yi Tian Xu ,  Di Wu ,  Xue Liu ,  Gregory Lewis Dudek ,  Taeseop Lee ,  Intaik Park

IPC: H04W16/18 ,  H04W16/22

CPC classification number: H04W16/22 ,  H04W16/18

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

公开(公告)号：US20230084465A1

公开(公告)日：2023-03-16

申请号：US17903646

申请日：2022-09-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Amal Feriani ,  Yi Tian Xu ,  Seowoo Jang ,  Michael Jenkin ,  Xue Liu ,  Gregory Lewis Dudek ,  Jimmy Li

IPC: H04L41/16 ,  H04W24/10 ,  G06N5/02 ,  G06K9/62

Abstract: Parameters for load balancing in a cellular communication system are determined. The cellular communication system performance is measured by key performance indicators (KPIs). A policy (artificial intelligence model) is obtained to optimize the cellular communication system performance with respect to the KPIs. The policy for determining parameters used for load balancing the cellular communication system is obtained using meta multi-objective reinforcement learning (meta MORL). A distilled policy may be obtained to initialize the meta MORL determination. Various loss functions may be used to obtain the distilled policy.

公开(公告)号：US20230047986A1

公开(公告)日：2023-02-16

申请号：US17872667

申请日：2022-07-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Yi Tian Xu ,  Jimmy Li ,  Tianyu Li ,  Jikun Kang ,  Xue Liu ,  Xi Chen ,  Gregory Lewis Dudek ,  Seowoo Jang

IPC: H04W28/08

Abstract: Several policies are trained for determining communication parameters used by mobile devices in selecting a cell of a first communication network to operate on. The several policies form a policy bank. By adjusting the communication parameters, load balancing among cells of the first communication network is achieved. A policy selector is trained so that a target communication network, different than the first communication network, can be load balanced. The policy selector selects a policy from the policy bank for the target communication network. The target communication network applies the policy and the load is balanced on the target communication network. Improved load balancing leads to a reduction of the number of base stations needed in the target communication network.

公开(公告)号：US20240422667A1

公开(公告)日：2024-12-19

申请号：US18631726

申请日：2024-04-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Junliang LUO ,  Yi Tian Xu ,  Di Wu ,  Xue Liu ,  Gregory Lewis Dudek

IPC: H04W52/02 ,  H04L41/16 ,  H04W28/24

Abstract: A method performed by at least one processor of a network device in communication with a plurality of base stations, the method including: receiving historical data collected by one or more base stations from the plurality of base stations, the historical data indicating one or more of a power consumption, handover data, and quality of service (QOS); generating, from the historical data, training data comprising a plurality of cell states and a corresponding random action for each cell state; and training one or more neural network estimators based on the training data, where the one or more neural network estimators comprise one or more of a power consumption estimator, a QoS estimator, and a handover prediction estimator, and where each base station from the plurality of base stations is associated with a respective cell.

公开(公告)号：US11991531B2

公开(公告)日：2024-05-21

申请号：US17570767

申请日：2022-01-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chengming Hu ,  Xi Chen ,  Ju Wang ,  Hang Li ,  Jikun Kang ,  Yi Tian Xu ,  Xue Liu ,  Di Wu ,  Seowoo Jang ,  Intaik Park ,  Gregory Lewis Dudek

IPC: H04W16/22 ,  G06N3/047 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  H04W24/02 ,  H04W24/08

CPC classification number: H04W16/22 ,  G06N3/047 ,  H04L41/145 ,  H04L41/147 ,  H04L41/16 ,  H04W24/02 ,  H04W24/08

Abstract: A method is provided. The method includes receiving a first dimension set, extracting a first latent feature set from the first dimension set, training a first base predictor based on the first feature set, generating a second dimension set based on the first dimension set, the second dimension set having fewer dimensions than the first dimension set, extracting a second latent feature set from the second dimension set, training a second base predictor based on the second feature set, and generating a traffic prediction based on the first base predictor and the second base predictor.

公开(公告)号：US20210241173A1

公开(公告)日：2021-08-05

申请号：US17008218

申请日：2020-08-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hang Li ,  Xi Chen ,  Di Wu ,  Xue Liu

IPC: G06N20/00 ,  H04W4/02 ,  G01P13/00 ,  G01S5/02 ,  G06N5/04

Abstract: A method of location determination with a WiFi transceiver and an AI model includes jointly training, based on various losses: a feature extractor, a location classifier, and a domain classifier. The domain classifier may include a first domain classifier and a second domain classifier. The losses used for training tend to cause feature data from the feature extractor to cluster even if a physical object in an environment has moved after training is completed. Then, the location classifier is able to accurately estimate the position of, for example, a person in a room, even if a door or window has changed from open to close or close to open between the time of training and the time of estimating the person's position.