ENERGY SAVING IN CELLULAR WIRELESS NETWORKS VIA TRANSFER DEEP REINFORCEMENT LEARNING

    公开(公告)号:US20240406861A1

    公开(公告)日:2024-12-05

    申请号:US18609797

    申请日:2024-03-19

    Abstract: The present disclosure provides methods, apparatuses, systems, and computer-readable mediums for operating a target base station by an apparatus. A method includes collecting a plurality of trajectories corresponding to the target base station and a plurality of source base stations, clustering, using an unsupervised reinforcement learning model, the plurality of trajectories into a plurality of clusters including a target cluster, selecting, as a target trajectory, a selected trajectory from the target cluster that maximizes an energy-saving parameter of the target base station, and applying, to the target base station, an energy-saving control policy corresponding to the target trajectory. The target cluster corresponds to the target base station and at least one source base station from among the plurality of source base stations.

    METHOD AND ELECTRONIC DEVICE FOR BUILDING DIGITAL TWIN BASED ON DATA OF BASE STATION IN COMMERCIAL NETWOR

    公开(公告)号:US20230362681A1

    公开(公告)日:2023-11-09

    申请号:US18143437

    申请日:2023-05-04

    CPC classification number: H04W24/02 H04W24/06 H04W24/08

    Abstract: An electronic device includes a memory storing instructions, a transceiver configured to receive base station data, and at least one processor configured to execute the instructions to: divide the base station data into a plurality of pieces of base station data according to a first time unit; generate first data of the first time unit by superimposing the plurality of pieces of base station data on each other; divide the first data of the first time unit into a plurality of second time intervals, according to a second time interval unit; calculate at least one probability density function for each second time interval of the plurality of second time intervals; generate at least one first representative data by using respective probability density functions of the plurality of second time intervals; and train the base station model, based on the at least one first representative data.

    ELECTRONIC DEVICE TRAINING IMAGE RECOGNITION MODEL AND OPERATION METHOD FOR SAME

    公开(公告)号:US20220198786A1

    公开(公告)日:2022-06-23

    申请号:US17693095

    申请日:2022-03-11

    Abstract: A method of training an image recognition model includes: generating a virtual dynamic vision sensor (DVS) image using a virtual simulator; generating label information including information about a correct answer to a result of recognition of the DVS image by the image recognition model, with respect to the DVS image; and training the image recognition model by modifying the image recognition model so that a difference between the result of recognition of the DVS image by the image recognition model and the label information is reduced.

    METHOD OF IMPLEMENTING SELF-ORGANIZING NETWORK FOR PLURALITY OF ACCESS NETWORK DEVICES AND ELECTRONIC DEVICE FOR PERFORMING THE SAME

    公开(公告)号:US20220104113A1

    公开(公告)日:2022-03-31

    申请号:US17235291

    申请日:2021-04-20

    Abstract: An electronic device configured to adjust a state of an access network including at least one cell may include: at least one processor, and a memory connected to the at least one processor, wherein the at least one processor is configured to control the electronic device to: obtain state history information of the access network at a first time point, determine, based on the obtained state history information, a first time period required to adjust a state of the access network, determine, based on the first time point and the first time period, a second time point, the second time point being a reference time point at which the state of the access network is to be adjusted, estimate a state of the access network at the second time point based on the obtained state history information, determine values of state control parameters for adjusting the state of the access network, based on the estimated state of the access network at the second time point, and transmit the determined values of the state control parameters to the access network, wherein the values of the state control parameters transmitted to the access network are applied, at the second time point, to the state control parameters of the access network, to adjust the state of the access network.

    ELECTRONIC DEVICE AND OPERATING METHOD FOR PERFORMING OPERATION BASED ON VIRTUAL SIMULATOR MODULE

    公开(公告)号:US20210357722A1

    公开(公告)日:2021-11-18

    申请号:US17320885

    申请日:2021-05-14

    Abstract: Provided is a method, performed by an electronic device, of an operation based on a virtual simulator module, wherein the electronic device obtains a simulation parameter set for each of a plurality of operations for performing simulations with respect to the plurality of operations, obtains first performance information for each operation using a simulator module, wherein the first performance information indicates performance of an operation simulated based on the simulation parameter set, obtains second performance information for each operation based on the first performance information using a modeling module, wherein the second performance information indicates performance of the operation simulated in the simulator module, and performs an operation of the plurality of operations based on the first performance information and the second performance information.

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