DATA TRANSMISSION METHOD AND DEVICE
    103.
    发明申请

    公开(公告)号:US20170318471A1

    公开(公告)日:2017-11-02

    申请号:US15521232

    申请日:2014-10-22

    Inventor: Jian WANG

    Abstract: A data transmission method and a device are disclosed and relate to the field of communications technologies, so that a CSI status feedback mechanism suitable for an LTE-U system can be provided. The method includes: detecting, by a first device, data that is transmitted by a second device on an unlicensed carrier; and sending, by the first device, channel state information CSI to the second device on an Nth time resource that is after the first device starts to receive the data that is transmitted by the second device on the unlicensed carrier, where N is a positive integer less than 4. The method and the device are used for data transmission.

    DATA TRANSMISSION METHOD, DEVICE, AND SYSTEM
    104.
    发明申请

    公开(公告)号:US20170238313A1

    公开(公告)日:2017-08-17

    申请号:US15502153

    申请日:2014-08-07

    Abstract: A method includes: determining, by a first device, a frequency hopping parameter and a quantity of retransmission times of to-be-transmitted data, wherein the frequency hopping parameter comprises an initial frequency hopping location, a bandwidth of the to-be-transmitted data, a frequency hopping offset, and a total frequency hopping bandwidth; determining, by the first device, a first start location of the to-be-transmitted data according to the quantity of retransmission times of the to-be-transmitted data and the frequency hopping parameter; and sending, by the first device, the to-be-transmitted data to a second device according to the first start location and the bandwidth of the to-be-transmitted data.

    DEVICE AND METHOD FOR GENERATING VORTEX BEAM GENERATION

    公开(公告)号:US20170212282A1

    公开(公告)日:2017-07-27

    申请号:US15481578

    申请日:2017-04-07

    CPC classification number: G02B5/008 G02B27/10 G02B27/141 G03H1/12 G21K1/00

    Abstract: A vortex beam device includes: a metal reflector, a low refractive index layer, and multiple elliptical dielectric elements. The low refractive index layer located on the metal reflector. The multiple elliptical dielectric elements are embedded in the low refractive index layer and arranged in an array, major axes of the multiple elliptical dielectric elements are parallel or coincident. The multiple elliptical dielectric elements have a same thickness. A thickness of the low refractive index layer is greater than a thickness of the elliptical dielectric element. An outer surface of each elliptical dielectric element is flush with an outer surface of the low refractive index layer. A refractive index of the low refractive index layer is less than a refractive index of the elliptical dielectric element.

    ARTIFICIAL INTELLIGENCE MODEL PROCESSING METHOD AND RELATED DEVICE

    公开(公告)号:US20250158896A1

    公开(公告)日:2025-05-15

    申请号:US19026918

    申请日:2025-01-17

    Abstract: In an artificial intelligence (AI) model processing method, a first node determines a first AI model, and the first node sends first information, where the first information indicates model information of the first AI model and auxiliary information of the first AI model. Compared with a manner in which different nodes exchange only respective AI models, in addition to the model information of the first AI model, the first information may further indicate the auxiliary information of the first AI model, so that a receiver of the first information can perform AI model processing (for example, training and merging) on the model information of the first AI model based on the auxiliary information of the first AI model, thereby improving performance of an AI model obtained by the receiver of the first information by performing processing based on the first AI model.

    MODEL TRANSMISSION METHOD AND APPARATUS

    公开(公告)号:US20250086459A1

    公开(公告)日:2025-03-13

    申请号:US18962556

    申请日:2024-11-27

    Abstract: Embodiments of this application provide a model transmission method and apparatus, and relate to the field of communication technologies. The method includes: obtaining information about N first models, where the N first models correspond to N first tasks, and N is an integer greater than or equal to 2; obtaining fusion auxiliary information, where the fusion auxiliary information includes an external feature value of a target model, the target model corresponds to a second task, and the second task is different from the N first tasks; determining N first signals based on the information about the N first models and the fusion auxiliary information; and sending the N first signals.

    COMMUNICATION METHOD AND COMMUNICATION APPARATUS

    公开(公告)号:US20240357436A1

    公开(公告)日:2024-10-24

    申请号:US18758860

    申请日:2024-06-28

    CPC classification number: H04W36/0055

    Abstract: This application provides a communication method and a communication apparatus. In the method, a source network device sends a request message to a target network device, where the request message is used to request to hand over a terminal device to the target network device. The source network device receives a response message from the target network device, where the response message indicates that handing over the terminal device to the target network device is allowed. The source network device sends first configuration information to the terminal device, where the first configuration information indicates artificial intelligence (artificial intelligence, AI) configuration information of the target network device. The source network device sends a first message to the terminal device, where the first message indicates to hand over the terminal device to the target network device.

    COMMUNICATION METHOD AND COMMUNICATION APPARATUS

    公开(公告)号:US20240354590A1

    公开(公告)日:2024-10-24

    申请号:US18750762

    申请日:2024-06-21

    CPC classification number: G06N3/098 G06N3/0455

    Abstract: Embodiments of this application disclose a communication method and a communication apparatus. The method includes: A transmit end performs first encoding processing on first data by using an encoder neural network, to obtain a first sent feature, where the first sent feature is related to a channel distribution dimension of an environment in which the transmit end is located. The transmit end performs second encoding processing on the first sent feature by using a matching layer, to obtain a first feature, where the encoder neural network and the matching layer are obtained through independent training. The transmit end sends the first feature to a receive end, where the first feature is used by the receive end to obtain the first data.

    COMMUNICATION METHOD, APPARATUS, AND SYSTEM, STORAGE MEDIUM, AND PROGRAM PRODUCT

    公开(公告)号:US20240284203A1

    公开(公告)日:2024-08-22

    申请号:US18641026

    申请日:2024-04-19

    CPC classification number: H04W24/02 H04L1/0003 H04L1/0061 H04L1/08

    Abstract: This application discloses a communication method, apparatus, and system, a storage medium, and a program product. The method includes: A first distributed node sends communication mechanism indication information to at least one second distributed node adjacent to the first distributed node, where the communication mechanism indication information is obtained based on a robustness requirement of a distributed learning system; the first distributed node receives at least one piece of first data from the at least one second distributed node, where the at least one piece of first data is transmitted by the at least one second distributed node based on the communication mechanism indication information; and the first distributed node performs inference based on second data of the first distributed node and the at least one piece of first data by using a distributed learning model.

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