Deep Learning Model Training Method and System

    公开(公告)号:US20210342696A1

    公开(公告)日:2021-11-04

    申请号:US17376722

    申请日:2021-07-15

    Abstract: A deep learning model training method includes generating N first gradient sets in a back propagation (BP) calculation in a jth iteration of N deep learning models, adjusting a communication sequence of gradients included in each of the first gradient sets to obtain an adjusted communication sequence, and sending, according to the adjusted communication sequence, the gradients included in each of the N first gradient sets to the parameter storage space.

    Random access method, base station, and terminal

    公开(公告)号:US11089634B2

    公开(公告)日:2021-08-10

    申请号:US16728935

    申请日:2019-12-27

    Abstract: A random access method, base station, and terminal, where a base station detects a first preamble value, and generates at least two random access response messages based on the first preamble value. At least one random access response message includes a second preamble value, and at least one random access response message includes a third preamble value, where the second preamble value is the same as the first preamble value, and the third preamble value is a preamble value obtained after the base station adds a preset accumulation number to the first preamble value. The base station then sends the at least two random access response messages to a terminal.

    Random access method and base station

    公开(公告)号:US11229059B2

    公开(公告)日:2022-01-18

    申请号:US16727514

    申请日:2019-12-26

    Inventor: Bin Jian Pengfei Li

    Abstract: Embodiments of this application disclose a random access method. A base station determines that a detected first preamble value is a preamble value from a target terminal. The base station calculates a preamble offset and a time offset of the target terminal. The base station generates at least two random access response messages, where at least one of the at least two random access response messages includes a second preamble value and a second timing advance TA value, and at least one of the at least two random access response messages includes a third preamble value and a third TA value. The base station sends the at least two random access response messages to the target terminal.

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