DATA PARTITION-BASED MODULATION METHOD AND APPARATUS FOR FEDERATED LEARNING

    公开(公告)号:US20240129755A1

    公开(公告)日:2024-04-18

    申请号:US18267666

    申请日:2020-12-31

    CPC classification number: H04W24/02 H04W24/10 H04W52/50 H04W74/002 H04W74/0833

    Abstract: In the present specification, provided are an apparatus and a method for obtaining gradient information, performed by a terminal, in a wireless communication system, wherein the terminal transmits a random access (RA) preamble to a base station, receives a random access response (RAR) from the base station in response to the RA preamble, performs a radio resource control (RRC) connection procedure with the base station, establishes a digital transmission link on the basis of the RRC connection procedure with the base station, and establishes an airComp link that is a link for federated learning with the base station, wherein the terminal acquires the gradient information corresponding to data, and the terminal obtains first information and second information from the gradient information on the basis of data splitting modulation, wherein the first information is information having a lower priority among the information obtained on the basis of the gradient information, the second information is information having a high priority among the information obtained on the basis of the gradient information, the terminal transmits the first information to the base station on a first area, and the terminal transmits the second information to the base station on a second area, wherein the first area is an area distinct from the second area in terms of a frequency domain and a time domain, the first area is a resource area used on the airComp link, and the second region is a resource area used on a digital transmission link.

    APPARATUS AND METHOD FOR SIGNAL TRANSMISSION IN WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20230379949A1

    公开(公告)日:2023-11-23

    申请号:US18034324

    申请日:2021-10-29

    CPC classification number: H04W72/50 H04L5/0048 H04W24/02

    Abstract: The present disclosure a method of operating a user equipment (UE) in a wireless communication system, the method comprising: transmitting a reference signal to a base station by the UE; receiving a response message from the base station based on the reference signal by the UE; and transmitting a local parameter of a local model to the base station by the UE, wherein the response message comprises transmission mode information, resource allocation information and feedback information of the reference signal, and wherein the transmission mode information indicates a first transmission mode or a second transmission mode, the local parameter of the local parameter is transmitted based on the indicated first transmission mode or second transmission mode, and the local parameter of the local model is related to federated learning.

    COMMUNICATION METHOD AND COMMUNICATION SYSTEM FOR REDUCING OVERHEAD OF REFERENCE SIGNAL

    公开(公告)号:US20230379120A1

    公开(公告)日:2023-11-23

    申请号:US18024717

    申请日:2020-09-03

    CPC classification number: H04L5/0051 H04L5/006

    Abstract: According to the present disclosure, disclosed is a communication method for reducing an overhead of a reference signal. The communication method according to the present disclosure comprises the steps in which: a reception unit receives a reference signal from a transmission unit; the reception unit obtains channel state information on the basis of the reference signal; the reception unit obtains loss information on the basis of the channel state information; the reception unit selects a mask to be applied to the reference signal on the basis of the quality of the loss information; and the reception unit transmits the selected mask to the transmission unit. The terminal of the present disclosure can be linked to an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 6G services, and the like.

    METHOD FOR PREPROCESSING DOWNLINK IN WIRELESS COMMUNICATION SYSTEM AND APPARATUS THEREFOR

    公开(公告)号:US20230318691A1

    公开(公告)日:2023-10-05

    申请号:US18022436

    申请日:2020-08-19

    CPC classification number: H04B7/0868 H04B7/0413 G06N3/08

    Abstract: Disclosed is a method for controlling, by a terminal, an operation of a deep neural network in a wireless communication system. The method according to an embodiment of the present disclosure receives a downlink from abase station in a wireless communication system; and preprocesses the downlink on the basis of the result of an operation of a deep neural network of a terminal, wherein at least one reference signal is applied to the downlink while a statistical feature related to noise of the downlink are maintained. The terminal of the present disclosure may be linked to an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 6G services, and the like.

    METHOD FOR CONTROLLING CALCULATIONS OF DEEP NEURAL NETWORK IN WIRELESS COMMUNICATION SYSTEM, AND APPARATUS THEREFOR

    公开(公告)号:US20230318662A1

    公开(公告)日:2023-10-05

    申请号:US18042107

    申请日:2020-08-20

    CPC classification number: H04B7/0404 G06N3/045 H04B7/0452

    Abstract: Disclosed is a method by which a terminal controls the calculations of a deep neural network in a wireless communication system. A method according to one embodiment of the present disclosure receives a downlink from a base station of a wireless communication system by using a multi input multi output (MIMO) operation, pre-processes the downlink on the basis of a result of calculations of a deep neural network in a terminal, acquires the number of a plurality of transmission antennas connected to the terminal, acquires the number of a plurality of reception antennas connected to the terminal, and forms a plurality of overlapping neural networks overlapping in the deep neural network, on the basis of a preset number of reference antennas, the number of transmission antennas, and the number of reception antennas. The terminal of the present disclosure can be linked to an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 6G services, and the like.

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