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    Beam training sequence design method and apparatus
    22.
    发明授权
    Beam training sequence design method and apparatus 有权

    公开(公告)号：US10951288B2

    公开(公告)日：2021-03-16

    申请号：US16916808

    申请日：2020-06-30

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Di Yuan ,  Qingchun Chen ,  Min Yan

    IPC: H04B7/06 ,  H04L5/00 ,  H04J13/00 ,  H04L25/02

    Abstract: The present disclosure relates to beam training sequence design methods and apparatus. One example method includes generating NT beam training sequences, where each beam training sequence includes a cyclic prefix and (2×N) Golay sequences, each Golay sequence is with a length of L, and the NT beam training sequences are orthogonal to each other, and sending the NT beam training sequences using NT transmit antennas, where each transmit antenna of the NT transmit antennas sends one beam training sequence of the NT beam training sequences.

    Channel estimation apparatus and method
    24.
    发明授权
    Channel estimation apparatus and method 有权

    公开(公告)号：US10284272B2

    公开(公告)日：2019-05-07

    申请号：US15258943

    申请日：2016-09-07

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Min Yan ,  Junping Zhang ,  Wei Wang ,  Qian Zhang

    IPC: H04B7/026 ,  H04B7/06 ,  H04L12/26 ,  H04L29/06 ,  H04L25/02 ,  H04L27/26

    Abstract: A channel estimation apparatus and method are provided to ensure that a channel estimation value can correctly reflect a transmission channel status, so that an orthogonal frequency division multiplexing (OFDM)-based wireless system can correctly transmit an aggregate long frame according to the channel estimation value. The channel estimation apparatus determines a first channel estimation value, receives a first symbol group of a long frame according to the first channel estimation value, and determines a second channel estimation value according to the first symbol group, and if a difference between the first channel estimation value and the second channel estimation value is less than or equal to a first threshold, determines a third channel estimation value according to the first channel estimation value and the second channel estimation value.

    Uplink service transmission method and apparatus and wireless local area network access point
    25.
    发明授权
    Uplink service transmission method and apparatus and wireless local area network access point 有权

    公开(公告)号：US10219258B2

    公开(公告)日：2019-02-26

    申请号：US15483811

    申请日：2017-04-10

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Min Yan ,  Xin Xue ,  Le Liu

    IPC: H04W72/04 ,  H04L5/00 ,  H04W16/14 ,  H04W88/08

    Abstract: In an uplink service transmission method, an access point divides an entire channel into resource blocks according to a quantity of stations that are connected to the access point, then allocates, to each station according to channel estimation information of each station, a resource block used to transmit uplink information, and separately sends channel allocation indication information to each station, so that each station finds, according to the channel allocation indication information, the resource block corresponding to the station, and transmits the uplink information by using the resource block, so as to implement that in an OFDMA system, multiple stations transmit uplink information in parallel, that is, resource blocks that are obtained by means of division can be simultaneously applicable to multiple stations.

    COMMUNICATION METHOD AND RELATED APPARATUS
    30.
    发明申请
    COMMUNICATION METHOD AND RELATED APPARATUS 有权

    公开(公告)号：US20250036964A1

    公开(公告)日：2025-01-30

    申请号：US18912516

    申请日：2024-10-10

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Jian Wang ,  Chen Xu ,  Gongzheng Zhang ,  Rong Li ,  Min Yan

    IPC: G06N3/098

    Abstract: This application provides a communication method and a related apparatus. In this method, a first neural network model may be determined from one or more pre-trained neural network models, the first neural network model is adjusted based on communication resource information and/or channel state information for communication between a first device and a second device, and an adjusted first neural network model is sent, or a submodel in an adjusted first neural network model is sent, where the adjusted first neural network model is used for the communication between the first device and the second device. It can be learned that the neural network model used for the communication between the first device and the second device is obtained through adjustment based on the pre-trained neural network model that has been trained.

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