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公开(公告)号：US20240152728A1
公开(公告)日：2024-05-09
申请号：US18503611
申请日：2023-11-07
Inventor： Han Jun PARK , Yong Jin KWON , An Seok LEE , Heesoo LEE , Yun Joo KIM , Hyun Seo PARK , Jung Bo SON , Yu Ro LEE
Abstract: A method of a communication node may comprise: transmitting required network configurations for applying each of artificial neural network models to a network node; and transmitting a status report of the first model including a model identifier field and a model information field for each of the artificial neural network models to the network node to activate at least one artificial neural network model among the artificial neural network models, wherein each of the required network configurations includes a configuration identifier and network configuration information.
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公开(公告)号：US20230319789A1
公开(公告)日：2023-10-05
申请号：US18128358
申请日：2023-03-30
Inventor： Han Jun PARK , An Seok LEE , Heesoo LEE , Yong Jin KWON , Hyun Seo PARK , Yu Ro LEE
IPC: H04W72/04
CPC classification number: H04W72/04
Abstract: An operation method of a terminal in a communication system may include: receiving, from a base station, a first reference signal through a use channel; generating subchannel state information for each of a plurality of subchannels of the use channel based on the first reference signal; compressing the subchannel state information using a first neural network encoder; forming a subchannel group including at least one subchannel; generating subchannel group state information from the compressed subchannel state information of the at least one subchannel belonging to the subchannel group by using a second neural network encoder; and transmitting the subchannel group state information to the base station.
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公开(公告)号：US20230259741A1
公开(公告)日：2023-08-17
申请号：US18090211
申请日：2022-12-28
Inventor： Joong Won HWANG , Yong Jin KWON , Jin Young MOON , Yu Seok BAE , Sung Chan OH
Abstract: The present disclosure relates to a method and apparatus for constructing a network adaptable to consecutive/complex domains. An apparatus for constructing a domain adaptive network according to an embodiment of the present disclosure includes a memory configured to store data; and a processor configured to control the memory, wherein the processor is configured to determine a weight to be applied to one or more neural networks based on input data, construct a final neural network by applying the weight to the one or more neural networks, and output result data of the input data using the final neural network, wherein the one or more neural networks are trained using data for each prototype domain.
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公开(公告)号：US20240314612A1
公开(公告)日：2024-09-19
申请号：US18599151
申请日：2024-03-07
Inventor： Hyun Seo PARK , Yong Jin KWON , Yun Joo KIM , Han Jun PARK , Jung Bo SON , An Seok LEE , Yu Ro LEE , Sung Cheol CHANG , Heesoo LEE
CPC classification number: H04W24/10 , H04W36/0085
Abstract: A method of a terminal may comprise: receiving, from a serving cell, a first message including measurement report configuration information; in response to transmission of a measurement report message being triggered based on the first message, generating a measurement report message; and in response to a measurement report message transmission condition configured by the first message being satisfied, transmitting the measurement report message to the serving cell.
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公开(公告)号：US20240267183A1
公开(公告)日：2024-08-08
申请号：US18429049
申请日：2024-01-31
Inventor： Han Jun PARK , Yong Jin KWON , An Seok LEE , Heesoo LEE , Yun Joo KIM , Hyun Seo PARK , Jung Bo SON , Yu Ro LEE
CPC classification number: H04L5/0051 , H04B7/0626 , H04B7/0634 , H04W8/22
Abstract: A method of a terminal may comprise: receiving a reference signal from a base station; generating a first latent vector based on the reference signal by using an artificial neural network, the first latent vector being common CSI for M resource regions, and M being a positive integer; generating a second latent vector based on the reference signal by using the artificial neural network, the second latent vector being per-resource region CSI for each of the M resource regions; and transmitting structured CSI including the first latent vector and the second latent vectors to the base station.
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Patent Agency Ranking
16.发明公开公开(公告)号：US20240121633A1
公开(公告)日：2024-04-11
申请号：US18475414
申请日：2023-09-27
Inventor： Han Jun PARK , Yong Jin KWON , An Seok LEE , Heesoo LEE , Yun Joo KIM , Hyun Seo PARK , Jung Bo SON , Yu Ro LEE
Abstract: A method of monitoring and managing performance of an artificial neural network model for an air interface may comprise: receiving, by a network (NW) including a communication node performing a function of monitoring and managing performance of an artificial neural network model, a performance metric of the artificial neural network model from a user equipment (UE); and controlling, by the communication node, activation or deactivation of the artificial neural network model according to the performance metric, wherein the artificial neural network model is activated to improve a main performance metric of a mobile communication system including the communication node and the UE connected through an air interface.
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17.发明公开公开(公告)号：US20230370885A1
公开(公告)日：2023-11-16
申请号：US18316900
申请日：2023-05-12
Inventor： An Seok LEE , Yong Jin KWON , Han Jun PARK , Heesoo LEE , Yun Joo KIM , Hyun Seo PARK , Jung Bo SON , Yu Ro LEE
CPC classification number: H04W28/0215 , H04B7/0626
Abstract: A method of a receiver in a communication system may comprise: transmitting, to a transmitter, artificial intelligence (AI) capability information of the receiver; receiving, from the transmitter, AI model information generated based on the AI capability information; selecting one or more AI models from among a plurality of AI models indicated by the AI model information; transmitting information of the one or more AI models to the transmitter; receiving, from the transmitter, channel state information (CSI) configuration information including information of at least one AI model among the one or more AI models; generating CSI feedback information based on the at least one AI model indicated by the CSI configuration information; and transmitting the CSI feedback information to the transmitter.
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公开(公告)号：US20230189085A1
公开(公告)日：2023-06-15
申请号：US18081111
申请日：2022-12-14
Inventor： Hyun Seo PARK , Yong Jin KWON , Yun Joo KIM , An Seok LEE , Yu Ro LEE , Heesoo LEE , Sung Cheol CHANG
IPC: H04W36/00
CPC classification number: H04W36/0058 , H04W36/00837 , H04W36/00835 , H04W36/0061
Abstract: An operation method of a terminal may comprise: receiving, from a serving base station, measurement configuration information and measurement prediction configuration information; measuring signal strengths of the serving base station and a neighboring base station according to the measurement configuration information; predicting signal strengths of the serving base station and the neighboring base station based on a result of measuring the signal strengths of the serving base station and the neighboring base station, according to the measurement prediction configuration information; and transmitting, to the serving base station, a report message including the predicted signal strengths of the serving base station and the neighboring base station according to the measurement prediction configuration information.
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公开(公告)号：US20230038795A1
公开(公告)日：2023-02-09
申请号：US17874427
申请日：2022-07-27
Inventor： Hyun Seo PARK , Yong Jin KWON , Yun Joo KIM , Eunkyung KIM , An Seok LEE , Yu Ro LEE , Heesoo LEE
Abstract: An operation method of a terminal in a communication system may comprise: receiving a first occurrence reporting condition of a handover problem from a source base station; performing a handover from the source base station to a target base station; identifying whether a handover problem occurs based on the first occurrence reporting condition while performing the handover; and in response to identifying that a handover problem occurs, transmitting information indicating the occurrence of the handover problem to the target base station.
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公开(公告)号：US20200311389A1
公开(公告)日：2020-10-01
申请号：US16834500
申请日：2020-03-30
Inventor： Hyung Il KIM , Yong Jin KWON , Jin Young MOON , Jong Youl PARK , Sung Chan OH , Ki Min YUN , Jeun Woo LEE
Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.
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