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    CARRIER BEARING METHOD AND DEVICE, AND RADIO REMOTE UNIT
    61.
    发明申请
    CARRIER BEARING METHOD AND DEVICE, AND RADIO REMOTE UNIT 有权
    载体轴承方法和装置以及无线电远程装置

    公开(公告)号：US20130051347A1

    公开(公告)日：2013-02-28

    申请号：US13662136

    申请日：2012-10-26

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Shunqing Zhang ,  Shugong Xu ,  Haicun Hang ,  Wei Zhang

    IPC: H04W52/16

    CPC classification number: H04W52/228 ,  H04W52/226 ,  H04W52/346

    Abstract: A carrier bearing method includes obtaining transmit power of each carrier borne on all power amplifiers in a radio remote unit after detecting that transmit power of a carrier borne on a power amplifier in the radio remote unit changes; adjusting a correspondence between the carriers and the power amplifier in the radio remote unit according to the obtained transmit power; and bearing each carrier on its corresponding power amplifier according to the adjusted correspondence. The device and base station are used to implement the above method.

    Abstract translation: 载波承载方法包括在检测到在无线电远程单元中的功率放大器上承载的载波的发射功率改变之后获得在无线电远程单元中的所有功率放大器上承载的每个载波的发射功率; 根据获得的发送功率，调整无线电远程单元中的载波与功率放大器之间的对应关系; 并根据调整后的对应关系在其相应的功率放大器上的每个载波。 设备和基站用于实现上述方法。

    Deep Learning Training Method for Computing Device and Apparatus
    65.
    发明公开
    Deep Learning Training Method for Computing Device and Apparatus 审中-公开

    公开(公告)号：US20230206069A1

    公开(公告)日：2023-06-29

    申请号：US18175936

    申请日：2023-02-28

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Junlei Zhang ,  Chuanjian Liu ,  Guilin Li ,  Xing Zhang ,  Wei Zhang ,  Zhenguo Li

    IPC: G06N3/08 ,  G06N3/045

    CPC classification number: G06N3/08 ,  G06N3/045

    Abstract: A deep learning training method includes obtaining a training set, a first neural network, and a second neural network, where shortcut connections included in the first neural network are less than shortcut connections included in the second neural network; performing at least one time of iterative training on the first neural network based on the training set, to obtain a trained first neural network, where any iterative training includes: using a first output of at least one first intermediate layer in the first neural network as an input of at least one network layer in the second neural network, to obtain an output result of the at least one network layer; and updating the first neural network according to a first loss function.

    Energy saving method and apparatus, and computer-readable storage medium
    66.
    发明授权
    Energy saving method and apparatus, and computer-readable storage medium 有权

    公开(公告)号：US11606747B2

    公开(公告)日：2023-03-14

    申请号：US17156987

    申请日：2021-01-25

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Jindong Peng ,  Wei Zhang

    IPC: H04W52/02 ,  H04W24/08

    Abstract: A centralized controller determines n radio remote units (RRUs) in m RRUs, where a sum of first downlink reference signal received powers (RSRPs) of a same terminal, corresponding to the n RRUs, is greater than or equal to a first preset value, and a first downlink RSRP of one terminal corresponding to one is a received power that is estimated by the centralized controller, that is measured by the terminal, and that is of a reference signal (RS) from the RRU at a corresponding first RS transmit power. The centralized controller turns off an RRU that is in the m RRUs and that is different from the n RRUs, boosts a second RS transmit power corresponding to each of the n RRUs to a corresponding first RS transmit power, and enables each of the n RRUs to send an RS at the corresponding first RS transmit power.

    ANTENNA APPARATUS
    67.
    发明申请
    ANTENNA APPARATUS 有权

    公开(公告)号：US20230035855A1

    公开(公告)日：2023-02-02

    申请号：US17956496

    申请日：2022-09-29

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Wei Zhang ,  Runxiao Zhang ,  Johann Baptist Obermaier

    IPC: H01Q1/42 ,  H01Q1/00

    Abstract: An antenna apparatus is provided. The antenna apparatus in embodiments of this application includes a radome. An interference structure is disposed on a surface of the radome, and the interference structure is configured to change an airflow at a surface boundary layer when the airflow passes through the surface of the radome. The interference structure is disposed on the antenna apparatus to change the airflow at the surface boundary layer.

    Congestion Control Method, Apparatus, and System
    68.
    发明申请
    Congestion Control Method, Apparatus, and System 有权

    公开(公告)号：US20230013180A1

    公开(公告)日：2023-01-19

    申请号：US17859431

    申请日：2022-07-07

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Xiaoman Shen ,  Wei Zhang ,  Hongyi Tan ,  Rihai Wu ,  Xingfeng Jiang

    IPC: H04W28/02

    Abstract: A congestion control method includes that a first access point receives a first indication from a second access point; and the first access point performs traffic control on a non-key service of the first access point based on the first indication. The first access point is a neighboring access point of the second access point, and an operating channel of the first access point and an operating channel of the second access point overlap.

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