公开(公告)号：US20240373400A1

公开(公告)日：2024-11-07

申请号：US18776184

申请日：2024-07-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yaqi Sun ,  Yiqun Wu ,  Yan Sun

IPC: H04W64/00 ,  H04L25/02

Abstract: This disclosure provides a communication method, which includes: obtaining M pieces of channel estimation information, where an mth piece of channel estimation information in the M pieces of channel estimation information is estimation information of a channel between an mth cell node in M cell nodes and a terminal device; determining a type of a target positioning manner based on the M pieces of channel estimation information; and obtaining N pieces of channel estimation information based on the type of the target positioning manner, where the N pieces of channel estimation information are used to position the terminal device, an nth piece of channel estimation information in the N pieces of channel estimation information is estimation information of a channel between an nth cell node in N cell nodes and the terminal device, the N cell nodes are included in the M cell nodes.

公开(公告)号：US20240354591A1

公开(公告)日：2024-10-24

申请号：US18757899

申请日：2024-06-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yaqi Sun ,  Yan Sun ,  Xiaomeng Chai ,  Yiqun Wu

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: This disclosure provides a communication method and apparatus. An apparatus obtains an ith piece of first information that indicates an ith local model of each of K subnodes and i is a positive integer, and determines an ith federated learning model of a kth subnode based on the ith piece of first information and a type of the ith federated learning model of the kth subnode, where k is any positive integer from 1 to K. When i is greater than 1, the type of the ith federated learning model of the kth subnode is determined based on a type or performance of an (i−1)th federated learning model of the kth subnode. The apparatus sends an ith piece of second information, where the ith piece of second information indicates an ith federated learning model of each of the K subnodes.

公开(公告)号：US20240346384A1

公开(公告)日：2024-10-17

申请号：US18747834

申请日：2024-06-19

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiaomeng Chai ,  Yan Sun ,  Yaqi Sun ,  Yiqun Wu

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: This disclosure provides a communication method and apparatus, to reduce transmission overheads of training data and improve performance of an artificial intelligence model. The method includes: obtaining first data and first information from a first node, where the first information indicates a data augmentation manner of the first data; and determining a first training dataset of a model based on the first data and the first information.

公开(公告)号：US20240313841A1

公开(公告)日：2024-09-19

申请号：US18673021

申请日：2024-05-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yan Sun ,  Xiaomeng Chai ,  Yaqi Sun ,  Yiqun Wu

IPC: H04B7/06 ,  H04B17/391

CPC classification number: H04B7/0626 ,  H04B17/3913

Abstract: This application provides a calibration method and apparatus. The method includes: determining first channel state information and second channel state information, where the first channel state information is obtained through prediction via a first channel prediction model, and the second channel state information is determined based on channel estimation on a downlink signal from an access network device; and sending first information to the access network device if a difference metric value between the first channel state information and the second channel state information is greater than or equal to a first threshold, where the first information indicates the second channel state information.