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公开(公告)号:US20220150786A1
公开(公告)日:2022-05-12
申请号:US17363918
申请日:2021-06-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jikun KANG , Xi CHEN , Di WU , Yi Tian XU , Xue LIU , Gregory Lewis DUDEK , Taeseop LEE , Intaik PARK
Abstract: Hybrid use of dual policies is provided to improve a communication system. In a multiple access scenario, when an inactive user equipment (UE) transitions to an active state, it may be become a burden to a radio cell on which it was previously camping. In some embodiments, hybrid load balancing is provided using a hierarchical machine learning paradigm based on reinforcement learning in which an LSTM generates a goal for one policy influencing cell reselection so that another policy influencing handover over active UEs can be assisted. The communication system as influenced by the policies is modeled as a Markov decision process (MDP). The policies controlling the active UEs and inactive UEs are coupled, and measureable system characteristics are improved. In some embodiments, policy actions depend at least in part on energy saving.
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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:US20220338019A1
公开(公告)日:2022-10-20
申请号:US17570767
申请日:2022-01-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chengming HU , Xi CHEN , Ju WANG , Hang Li , Jikun KANG , Yi Tian XU , Xue LIU , Di WU , Seowoo JANG , Intaik PARK , Gregory Lewis DUDEK
Abstract: A method is provided. The method includes receiving a first dimension set, extracting a first latent feature set from the first dimension set, training a first base predictor based on the first feature set, generating a second dimension set based on the first dimension set, the second dimension set having fewer dimensions than the first dimension set, extracting a second latent feature set from the second dimension set, training a second base predictor based on the second feature set, and generating a traffic prediction based on the first base predictor and the second base predictor.
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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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