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公开(公告)号:US20230117162A1
公开(公告)日:2023-04-20
申请号:US17870212
申请日:2022-07-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jimmy LI , Di WU , Yi Tian XU , Tianyu LI , Seowoo JANG , Xue LIU , Gregory Lewis DUDEK
Abstract: The present disclosure provides for methods, apparatuses, and non-transitory computer-readable storage media for load balancing traffic scenarios by a network device. In an embodiment, a method includes training a plurality of learning agents to load balance a respective plurality of traffic scenarios to obtain a plurality of control policies. The method further includes performing at least one clustering iteration. Each clustering iteration includes selecting a pair of control policies and merging the pair of control policies into a clustered control policy that replaces the pair of control policies. The method further includes determining to stop the performing of the at least one clustering iteration when a quantity of control policies remaining in the plurality of control policies meets a predetermined value. The method further includes deploying to each base station of a plurality of base stations a corresponding control policy from the plurality of control policies.
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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: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: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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