公开(公告)号：US12052584B2

公开(公告)日：2024-07-30

申请号：US18199666

申请日：2023-05-19

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：US20230353659A1

公开(公告)日：2023-11-02

申请号：US18351201

申请日：2023-07-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jikun KANG ,  Xi Chen ,  Chengming Hu ,  Ju Wang ,  Gregory Lewis Dudek ,  Xue Liu

IPC: H04L67/5682 ,  H04L67/1004 ,  H04L41/16

CPC classification number: H04L67/5682 ,  H04L67/1004 ,  H04L41/16

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

公开(公告)号：US11751115B2

公开(公告)日：2023-09-05

申请号：US17363918

申请日：2021-06-30

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 ,  G06N3/08 ,  H04W24/02 ,  G06N3/044 ,  H04W28/086

CPC classification number: H04W36/22 ,  G06N3/044 ,  G06N3/08 ,  H04W24/02 ,  H04W28/0861

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：US20230156520A1

公开(公告)日：2023-05-18

申请号：US17965294

申请日：2022-10-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di WU ,  Manyou Ma ,  Yi Tian Xu ,  Jimmy Li ,  Seowoo Jang ,  Xue Liu ,  Gregory Lewis Dudek

IPC: H04W28/08 ,  H04W28/02

CPC classification number: H04W28/0925 ,  H04W28/0226

Abstract: A method includes obtaining at least one policy parameter of a neural network corresponding to a load balancing policy, receiving trajectories for each mobile device in a plurality of mobile devices of the wireless network, each trajectory corresponding to a sequence of states of a respective mobile device, wherein the sequence of states is generated based on a continuous interaction of an existing policy of the respective mobile device with the wireless network, estimating advantage functions for each mobile device in the plurality of mobile devices based on the trajectories for each respective mobile device, and updating the at least one policy parameter based on the estimated advantage functions such that the load balancing policy is determined based on states of each mobile device in the plurality of mobile devices.

公开(公告)号：US12165020B2

公开(公告)日：2024-12-10

申请号：US17139561

申请日：2020-12-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

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

IPC: G06N20/00 ,  G06F18/20 ,  G06F18/21 ,  G06N3/044 ,  G06N3/08 ,  H04W28/02 ,  H04W28/08

Abstract: Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed. Ground truth data are not available and a policy must be learned based on limited interactions with a system. A policy bank is used to explore different policies on a target system with shallow probing. A target policy is chosen by comparing a good policy from the shallow probing with a base target policy which has evolved over other learning experiences. The target policy then interacts with the target system and a replay buffer is built up. The base target policy is then updated using gradients found with respect to the transition experience stored in the replay buffer. The base target policy is quickly learned and is robust for application to new, unseen, systems.

公开(公告)号：US11847591B2

公开(公告)日：2023-12-19

申请号：US16953586

申请日：2020-11-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Yi Tian Xu ,  Xi Chen ,  Ju Wang ,  Michael Jenkin ,  Hang Li ,  Gregory Lewis Dudek ,  Xue Liu

IPC: G06Q10/04 ,  G06N20/20 ,  G06Q50/06

CPC classification number: G06Q10/04 ,  G06N20/20 ,  G06Q50/06

Abstract: A method, computer program, and computer system are provided for load forecasting. Datasets corresponding to source machine learning models and a target domain base model are identified. A set of forecasting models corresponding to the identified datasets are learned. An ensemble model is determined from the learned set of forecasting models based on gradient boosting. An available resource is allocated based on the ensemble model.

公开(公告)号：US11656759B2

公开(公告)日：2023-05-23

申请号：US17139642

申请日：2020-12-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Francois Hogan ,  Michael Jenkin ,  Gregory Lewis Dudek ,  Yogesh Girdhar ,  Sahand Rezaei-Shoshtari ,  David Meger

IPC: G06F3/04883 ,  G06N20/20 ,  G06F3/041

CPC classification number: G06F3/04883 ,  G06F3/04164 ,  G06N20/20

Abstract: A method of sensing an interaction with an object using a semitransparent tactile surface (STS) sensor having an image sensor and a semitransparent membrane includes capturing, by the image sensor, a stream of images; separating the stream of images into a visual stream including light traveling through the semitransparent membrane and a tactile stream including light reflecting off of the semitransparent membrane; and processing the visual stream and tactile stream through a multimodal deep neural network.

公开(公告)号：US20230114810A1

公开(公告)日：2023-04-13

申请号：US17957499

申请日：2022-09-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hang LI ,  Ju Wang ,  Chengming Hu ,  Xi Chen ,  Xue Liu ,  Seowoo Jang ,  Gregory Lewis Dudek

IPC: H04L41/147 ,  H04L43/0876

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.

公开(公告)号：US11616548B2

公开(公告)日：2023-03-28

申请号：US17410091

申请日：2021-08-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Ju Wang ,  Xi Chen ,  Xue Liu ,  Gregory Lewis Dudek

IPC: H04B7/06 ,  H04B17/318

Abstract: A first device and second device communicate using mmWave communication with antenna alignment based on processing of ultra wide band (UWB) pulses. A limit on angle resolution due to a small number of antennas on either of the devices is relieved by using two or more carrier frequencies in the UWB pulses. A limit on angle resolution is further overcome in some situations by use of a neural network to refine angle estimates. In some situations, received power values are further used to select an angle for beam alignment.

公开(公告)号：US20240310162A1

公开(公告)日：2024-09-19

申请号：US18378447

申请日：2023-10-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kaleem Siddiqi ,  Affan Jilani ,  Charlotte Morissette ,  Francois Hogan ,  Michael Jenkin ,  Gregory Lewis Dudek

IPC: G01B11/24 ,  G01B5/20 ,  G06T7/50

CPC classification number: G01B11/24 ,  G01B5/20 ,  G06T7/50

Abstract: A method performed by an optical tactile sensor comprising a camera, includes: measuring a plurality of relations between the optical tactile sensor and an object; detecting a contact of a membrane on the object; detecting a plurality of markers on the membrane; performing a plurality of first operations by using a tactile perception module; and performing a second operation by using a three-dimensional (3D) perception module, based on a result of the performing of the plurality of first operations.