公开(公告)号：US20230292142A1

公开(公告)日：2023-09-14

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: H04W16/22 ,  H04W16/18

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：US20220338019A1

公开(公告)日：2022-10-20

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 ,  H04W24/08 ,  H04W24/02 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  G06N3/04

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：US20220150785A1

公开(公告)日：2022-05-12

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 ,  H04W48/06 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08

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：US20230102489A1

公开(公告)日：2023-03-30

申请号：US17902626

申请日：2022-09-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chengming HU ,  Xi CHEN ,  Amal FERIANI ,  Ju WANG ,  Jikun KANG ,  Xue LIU ,  Gregory Lewis DUDEK ,  Seowoo JANG

IPC: H04W28/16 ,  G06N20/00 ,  H04W24/02 ,  H04L41/16

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

公开(公告)号：US20220116088A1

公开(公告)日：2022-04-14

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：US20220261649A1

公开(公告)日：2022-08-18

申请号：US17343001

申请日：2021-06-09

Applicant: Samsung Electronics Co., Ltd. ,  University of Zurich

Inventor： Chang GAO ,  Shih-Chii LIU ,  Tobi DELBRUCK ,  Xi CHEN

IPC: G06N3/08 ,  G06N3/04

Abstract: Disclosed is a neural network-based inference method and apparatus. The neural network-based inference method includes compressing a matrix comprising processing elements corresponding to an operation of a neural network, balancing workloads related to the operation by reordering the compressed matrix based on the workloads, and performing inference based on the reordered matrix.

公开(公告)号：US20220150786A1

公开(公告)日：2022-05-12

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 ,  H04W28/08 ,  H04W24/02 ,  G06N3/08 ,  G06N3/04

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：US20210105578A1

公开(公告)日：2021-04-08

申请号：US16913493

申请日：2020-06-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi CHEN ,  Hang Li ,  Chenyi ZHOU ,  Xue LIU ,  Di WU ,  Gregory L. Dudek

IPC: H04W4/029 ,  H04R1/32 ,  G06Q30/02 ,  G06N3/04 ,  G06N3/08

Abstract: A location-aware electronic device is provided. The electronic device trains feature extraction layers, reconstruction layers, and classification layers. The training may be based on a reconstruction loss and/or a clustering loss. The electronic device processes a fingerprint to obtain an augmented fingerprint using randomization based on statistics of the fingerprint. The feature extraction layers provide feature data to both the reconstruction layers and the classification layers. The classification layers operate on the codes to obtain an estimated location label. An application processor operates on the estimated location label to provide a location-aware application result to a person.