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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:US20230102489A1
公开(公告)日:2023-03-30
申请号:US17902626
申请日:2022-09-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chengming HU , Xi CHEN , Amal FERIANI , Ju WANG , Jikun KANG , Xue LIU , Gregory Lewis DUDEK , Seowoo JANG
Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.
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公开(公告)号:US20220116088A1
公开(公告)日:2022-04-14
申请号:US17410091
申请日:2021-08-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Ju WANG , Xi CHEN , Xue LIU , Gregory Lewis DUDEK
IPC: H04B7/06 , H04B17/318
Abstract: A first device and second device communicate using mmWave communication with antenna alignment based on processing of ultra wide band (UWB) pulses. A limit on angle resolution due to a small number of antennas on either of the devices is relieved by using two or more carrier frequencies in the UWB pulses. A limit on angle resolution is further overcome in some situations by use of a neural network to refine angle estimates. In some situations, received power values are further used to select an angle for beam alignment.
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公开(公告)号:US20240422611A1
公开(公告)日:2024-12-19
申请号:US18591822
申请日:2024-02-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Dun YUAN , Abu Zafar Ekram HOSSAIN , Di WU , Xue LIU , Gregory Lewis DUDEK
IPC: H04W28/02 , H04L43/0811 , H04L43/0852 , H04L47/80
Abstract: A method performed by an electronic device of a wireless communication system, includes: receiving, from a first user, points of a cloud related to an application; receiving, from a plurality of mobile edge computing (MEC) servers, a plurality of computing capacities of the plurality of MEC servers; estimating a total latency of the wireless communication system, based on the points of the cloud and the plurality of computing capacities; performing a first operation of minimizing a maximum latency among a plurality of users comprising the first user, based on the total latency; performing a second operation of minimizing a number of splits of the points, based on the minimized maximum latency; performing a splitting of the points to a plurality of subsets and allocating the plurality of subsets to the plurality of MEC servers, respectively.
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公开(公告)号:US20240114236A1
公开(公告)日:2024-04-04
申请号:US18373078
申请日:2023-09-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Dmitriy RIVKIN , Gregory Lewis DUDEK
CPC classification number: H04N23/66 , B25J9/163 , B25J9/1697 , B25J13/003 , B25J19/023 , G06T7/70 , G06T2207/10016 , G06T2207/30244
Abstract: An electronic device for controlling a photographic system may obtain a video stream and a user query for a target event, obtain a set of photos from the video stream, obtain at least one photoshoot suggestion based on the user query via a language model, obtain a snapped photo for the target event based on the at least one photoshoot suggestion, in response to a given video frame included in the video stream satisfying a target content criterion, and output one or more photos selected from the set of photos and the snapped photo as event photos.
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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: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:US20240422642A1
公开(公告)日:2024-12-19
申请号:US18593262
申请日:2024-03-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: MHD Saria AL LAHHAM , Di WU , Abu Zafar Ekram HOSSAIN , Xue LIU , Gregory Lewis DUDEK
IPC: H04W36/30 , H04B17/318 , H04W36/06 , H04W76/20
Abstract: A method performed by an electronic device of a wireless communication system, includes: receiving channel qualities and movements reports from a plurality of user equipments; based on the channel qualities and the movements reports, determining whether a load balancing index (LBI) is lower than a predetermined threshold; based on identifying that the LBI is lower than the predetermined threshold, determining an assignment matrix between the plurality of UEs and the plurality of operating bands by calculating minimized maximum band loads and minimized number of inter-frequency handovers (HOs); and transmitting a message to a first UE of the plurality of UEs, wherein the message indicates that the first UE is assigned to a first operating band of the plurality of the operating bands, based on the assignment matrix.
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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:US20230351197A1
公开(公告)日:2023-11-02
申请号:US18141031
申请日:2023-04-28
Applicant: SAMSUNG ELECTRONICS CO,LTD.
CPC classification number: G06N3/09 , G06N3/045 , B25J13/085 , B25J9/161
Abstract: Provided are a robotic device and a method for identifying a property of an object. The method may include obtaining sensor data from at least one sensor, identifying, using the sensor data, a property of interest of an object, training, using one or more neural networks, a model to predict the uncertainty about the next state of the object based on an action, and based on identifying the uncertainty about the next state of the object, controlling a movement of a robotic element to perform the action.
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