DATA PROCESSING METHOD, APPARATUS, AND SYSTEM
    143.
    发明申请

    公开(公告)号:US20190090270A1

    公开(公告)日:2019-03-21

    申请号:US16195521

    申请日:2018-11-19

    Abstract: Embodiments of the present application provide a data processing method, a device, and a system. The method includes: determining a pilot group, where the pilot group includes at least two elements; generating a plurality of data frames including a first data frame and a second data frame, where each data frame carries information used to indicate the pilot group determined by user equipment; and sending a plurality of resource blocks to a network device, where a first resource block carries the first pilot and the first data frame, and a second resource block carries the second pilot and the second data frame.

    COMMUNICATION METHOD AND COMMUNICATION APPARATUS

    公开(公告)号:US20250132966A1

    公开(公告)日:2025-04-24

    申请号:US19003099

    申请日:2024-12-27

    Abstract: The disclosure includes a communication method and a communication apparatus. The communication method includes the communication apparatus determining to use a reserved tone, determining a reference signal pattern and a tone reservation (TR) pattern, and performing data transmission based on the reference signal pattern and the TR pattern. The reference signal pattern includes a first reference signal sub-pattern and a second reference signal sub-pattern, and the second reference signal sub-pattern is an offset of the first reference signal sub-pattern in time domain and/or frequency domain. According to the method, a reference signal pattern having a plurality of different sub-patterns may be provided, so that reference signals are unevenly distributed on a bandwidth. In this way, even if a reference signal density is high, a large secondary peak value of a kernel time domain signal generated on a subcarrier used as a reserved tone can be avoided, thereby improving peak-to-average power ratio (PAPR) suppression performance.

    MODEL TRAINING METHOD AND APPARATUS
    145.
    发明申请

    公开(公告)号:US20250086473A1

    公开(公告)日:2025-03-13

    申请号:US18959944

    申请日:2024-11-26

    Abstract: This application provides a model training method and apparatus. The method includes: A first processing node obtains at least one first model; the first processing node processes the at least one first model to generate a first common model; and the first processing node determines a second processing node, where the second processing node is a processing node for a next round of model processing, and the first common model is obtained by the second processing node before the next round of model processing. In technical solutions provided in this application, before the next round of model processing, a processing node for the next round of model processing may be determined based on an actual requirement, to adapt to a change of an application scenario.

    DATA SENDING METHOD AND APPARATUS
    148.
    发明公开

    公开(公告)号:US20240305514A1

    公开(公告)日:2024-09-12

    申请号:US18665859

    申请日:2024-05-16

    CPC classification number: H04L27/3405 H04L27/38

    Abstract: This application provides a data sending method and an apparatus. The method includes: A first device sends, to a second device, first data modulated by using a first quadrature amplitude modulation codebook. The second device receives, from the first device, the first data modulated by using the first quadrature amplitude modulation codebook. When the second device fails to decode the first data modulated by using the first quadrature amplitude modulation codebook, the first device sends, to the second device, second data modulated by using a second quadrature amplitude modulation codebook. The second data is a part or all of the first data, and the first quadrature amplitude modulation codebook is different from the second quadrature amplitude modulation codebook. The second device receives, from the first device, the second data modulated by using the second quadrature amplitude modulation codebook, and jointly decodes the first data and the second data.

    MODEL TRAINING METHOD AND COMMUNICATION APPARATUS

    公开(公告)号:US20240296345A1

    公开(公告)日:2024-09-05

    申请号:US18663656

    申请日:2024-05-14

    CPC classification number: G06N3/098

    Abstract: A model training method includes performing, by an ith device in a kth group of devices, n*M times of model training. The ith device completes a model parameter exchange with at least one other device in the kth group of devices every M times of model training, M is a quantity of devices in the kth group of devices, M is greater than or equal to 2, and n is an integer. The model training method also includes sending, by the ith device, a model Mi,n*M to a target device. The model Mi,n*M is obtained by the ith device by completing the n*M times of model training.

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