Method and base station for managing capacity of a wireless communication network
    61.
    发明授权
    Method and base station for managing capacity of a wireless communication network 有权
    用于管理无线通信网络容量的方法和基站

    公开(公告)号:US08620223B2

    公开(公告)日:2013-12-31

    申请号:US13686105

    申请日:2012-11-27

    Abstract: The present invention provides a method and a base station for managing capacity of a wireless communication network, which relates to the field of wireless communications and is capable of saving energy while adjusting capacity of a wireless communication network of a base station. The present invention includes: checking total traffic of all overlay networks belonging to the base station; if the checked total traffic keeps being smaller than a preset load threshold, searching for and determining a first overlay network; maintaining normal work of a power amplifier of at least one antenna in each group of antennas in the first overlay network and turning off power amplifiers of one or more other antennas; and connecting the one or more other antennas to the power amplifiers maintaining normal work in the groups in which the one or more other antennas are located.

    Abstract translation: 本发明提供一种用于管理与无线通信领域有关的无线通信网络的能力的方法和基站,并且能够在调整基站的无线通信网络的容量的同时节省能量。 本发明包括:检查属于该基站的所有覆盖网络的总业务; 如果检查的总流量保持小于预设的负载阈值,则搜索并确定第一覆盖网络; 保持第一覆盖网络中的每组天线中的至少一个天线的功率放大器的正常工作,并关闭一个或多个其他天线的功率放大器; 以及将所述一个或多个其他天线连接到功率放大器,以保持所述一个或多个其它天线所在的组中的正常工作。

    Deep Learning Training Method for Computing Device and Apparatus

    公开(公告)号:US20230206069A1

    公开(公告)日:2023-06-29

    申请号:US18175936

    申请日:2023-02-28

    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

    公开(公告)号:US11606747B2

    公开(公告)日:2023-03-14

    申请号:US17156987

    申请日:2021-01-25

    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

    公开(公告)号:US20230035855A1

    公开(公告)日:2023-02-02

    申请号:US17956496

    申请日:2022-09-29

    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

    公开(公告)号:US20230013180A1

    公开(公告)日:2023-01-19

    申请号:US17859431

    申请日:2022-07-07

    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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