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：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.