UPLINK TRANSMISSION INSTRUCTION METHOD, TERMINAL, BASE STATION AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20210351960A1

    公开(公告)日:2021-11-11

    申请号:US17268601

    申请日:2019-08-16

    Abstract: Disclosed are an uplink transmission instruction method, a terminal, a base station and a computer storage medium for providing a new uplink transmission instruction method so as to flexibly perform dynamic instruction on an uplink sending beam, thereby improving the adjustment efficiency of the beam. The uplink transmission instruction method, applied to a network side device, comprises: sending a configuration message to a terminal, wherein the configuration message is used for configuring at least two sounding reference signal (SRS) resource sets for the terminal, and the SRS resource set is used for acquiring channel state information (CSI) of a first uplink transmission mode; receiving an SRS under the configuration message sent by the terminal, and determining, according to the received SRS, an uplink transmission parameter of a first uplink signal; and sending the determined uplink transmission parameter to the terminal so as to instruct the terminal to transmit the first uplink signal according to the uplink transmission parameter.

    MEASUREMENT METHOD AND DEVICE
    32.
    发明申请

    公开(公告)号:US20210328747A1

    公开(公告)日:2021-10-21

    申请号:US17275660

    申请日:2019-09-04

    Abstract: The present application relates to the technical field of wireless communications, in particular, to a measurement method and device, used for solving the problem in the art that there is no specific solution for a terminal to perform OTDOA measurement in a NR system. In embodiments of the present application, a terminal determines a detected first beam reference signal, and sends a request message to an LMF entity; receive first positioning assistance data comprising second beam information of a second beam reference signal sent by the LMF entity; measure the second beam reference signal of an adjacent base station according to the first positioning assistance data. Therefore, it is ensured that the LMF entity can accurately provide the positioning assistance data to a UE according to first beam information of the first beam reference signal, the time and power consumption of the terminal for searching the second beam reference signal are reduced, and the system performance is further improved.

    INFORMATION PROCESSING METHOD AND APPARATUS, TERMINAL, AND NETWORK DEVICE

    公开(公告)号:US20250070910A1

    公开(公告)日:2025-02-27

    申请号:US18724184

    申请日:2022-12-05

    Abstract: An information processing method and an information processing apparatus, a terminal and a network device are provided, and relate to the field of communication technology. The method includes: receiving, by a terminal, a downlink signal sent by a network device; determining, by the terminal, a first network model according to the downlink signal; wherein the first network model is at least one of I network models which are pre-deployed or are downloaded from the network device side, where I is a positive integer; encoding, by the terminal, first channel information through the first network model, to obtain to-be-transmitted encoded data; and processing, by the terminal, the encoded data and then sending, by the terminal, data resulting from the processing of the encoded data to the network device.

    NEURAL NETWORK OPERATION METHOD AND APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:US20250045587A1

    公开(公告)日:2025-02-06

    申请号:US18719834

    申请日:2022-10-20

    Abstract: Embodiments of the present disclosure provide a neural network operation method and apparatus, and a storage medium. The method comprises: adding a random mask layer to a first neural network according to the type of a variable dimension, to obtain a second neural network, the random mask layer being used for performing random mask processing on a tensor inputted to the random mask layer; and training the second neural network by using sample data. According to the neural network operation method and apparatus and the storage medium provided in embodiments of the present disclosure, by adding the random mask layer to a neural network, only one neural network needs to be trained and deployed to adapt to different input and output dimension requirements; the method is low in training complexity, low in storage overhead, and easy in deployment and continued evolution of online training.

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