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公开(公告)号:US20220207357A1
公开(公告)日:2022-06-30
申请号:US17359919
申请日:2021-06-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Di WU , Michael JENKIN , Xue LIU , Gregory Lewis DUDEK
Abstract: A method of load forecasting using multi-task deep learning includes obtaining references data corresponding to commodity consuming objects, clustering the commodity consuming objects into clusters based on the obtained reference commodity consumption data; obtaining cluster models based on: reference commodity consumption data, reference environmental data, and reference calendar data; inputting, into the cluster models, present data corresponding to the commodity consuming objects; and predicting, based on an output of the cluster models, a future commodity consumption for the commodity consuming objects. The cluster models include multi-task learning processes having joint loss functions.
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公开(公告)号:US20240406861A1
公开(公告)日:2024-12-05
申请号:US18609797
申请日:2024-03-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Di WU , Yi Tian XU , Michael JENKIN , Seowoo JANG , Abu Zafar Ekram HOSSAIN , Xue LIU , Gregory Lewis DUDEK
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.
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公开(公告)号:US20220150785A1
公开(公告)日:2022-05-12
申请号:US17334018
申请日:2021-05-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Di WU , Jikun KANG , Yi Tian XU , Jimmy LI , Michael JENKIN , Xue LIU , Xi CHEN , Gregory Lewis DUDEK , Intaik PARK , Taeseop LEE
Abstract: An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.
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