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公开(公告)号:US20230292142A1
公开(公告)日:2023-09-14
申请号:US18199666
申请日:2023-05-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Xi CHEN , Ju WANG , Hang LI , Yi Tian XU , Di WU , Xue LIU , Gregory Lewis DUDEK , Taeseop LEE , Intaik PARK
Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.
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公开(公告)号:US20230114810A1
公开(公告)日:2023-04-13
申请号:US17957499
申请日:2022-09-30
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hang LI , Ju Wang , Chengming Hu , Xi Chen , Xue Liu , Seowoo Jang , Gregory Lewis Dudek
IPC: H04L41/147 , H04L43/0876
Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.
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