公开(公告)号：US20180321055A1

公开(公告)日：2018-11-08

申请号：US16027998

申请日：2018-07-05

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Haoju Mo ,  Jilin Liu ,  Yan Sun

IPC: G01C21/36 ,  G06F13/28 ,  G06F1/32

CPC classification number: G01C21/3629 ,  G01C21/26 ,  G01C21/3641 ,  G06F1/3231 ,  G06F13/28

Abstract: A navigation apparatus and a navigation method are disclosed. The navigation apparatus (100) includes a main processor (110), a coprocessor (120), a locator (130), and a first memory (140). The main processor (110) is configured to: generate navigation data, store the navigation data in the first memory (140), and enter a sleep state after storing the navigation data. The locator (130) is configured to determine a current location of the navigation apparatus (100). The coprocessor (120) is configured to: obtain the navigation data stored in the first memory (140), and perform navigation according to the navigation data and the current location of the navigation apparatus (100) determined by the locator (130). The performing navigation includes at least one of the following: triggering the main processor (110) to update the navigation data, triggering voice broadcast, or determining data that needs to be displayed in the navigation data.

公开(公告)号：US20230336302A1

公开(公告)日：2023-10-19

申请号：US18336764

申请日：2023-06-16

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xiaomeng Chai ,  Yiqun Wu ,  Yan Sun ,  Jing Liang

IPC: H04L5/00

CPC classification number: H04L5/0048

Abstract: Embodiments of this application provide a method for configuring a reference signal, to increase a rate of data transmission between an access network device and a terminal device. The method includes: An access network device determines a first reference signal pool, where the first reference signal pool includes one or more reference signals. The access network device sends first information to a first terminal device, where the first information indicates a first reference signal allocated to the first terminal device, the first reference signal is included in the first reference signal pool, and the first reference signal pool is obtained by the access network device by training a first neural network, or the first reference signal pool is obtained by another network-side node by training a first neural network and sent to the access network device.

公开(公告)号：US20220124021A1

公开(公告)日：2022-04-21

申请号：US17646336

申请日：2021-12-29

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yan Sun ,  Wei Xu

IPC: H04L45/02 ,  H04L49/101 ,  H04L45/745

Abstract: A network verification system processes a network forwarding state into atomic predicates and compresses a network routing table into an atomic predicates indexes set. A transitive closure among all pairs of nodes in the network is calculated from the atomic predicates and atomic predicates indexes set to generate an all-pair reachability matrix Mn of the network. A reachability report for the network is recursively generated for respective nodes based on the all-pair reachability matrix. The reachability report is used to dynamically program the network.

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：US20230342593A1

公开(公告)日：2023-10-26

申请号：US18345904

申请日：2023-06-30

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yan Sun ,  Yiqun Wu

IPC: G06N3/0455 ,  H04B7/06

CPC classification number: G06N3/0455 ,  H04B7/0626

Abstract: A neural network training method and a related apparatus are provided. The method includes: a first device receives first channel sample information from a second device. The first device determines a first neural network. The first neural network is obtained through training based on the first channel sample information, and is used to perform inference based on the first channel sample information to obtain second channel sample information. According to this method, air interface signaling overheads can be effectively reduced, adaptability to a channel environment is achieved, and communication performance is improved.

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.