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公开(公告)号:US20230388158A1
公开(公告)日:2023-11-30
申请号:US18183114
申请日:2023-03-13
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yeqing Hu , Yang Li , Tiexing Wang , Junmo Sung , Jianzhong Zhang
IPC: H04L25/02
CPC classification number: H04L25/0254 , H04L25/0256 , H04L25/0204
Abstract: A method includes determining estimated features comprising second order statistics based on at least one received signal. The method also includes classifying, using a machine learning network, each channel of the at least one received signal into a channel profile based on the estimated features. The method also includes obtaining multiple minimum mean square error (MMSE) channel estimation weights from a database based on the estimated features, the database storing (i) representative MMSE estimation weights and (ii) channel cluster representatives indexed by the estimated features. The method also includes applying a respective MMSE channel estimation weight for each channel.
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公开(公告)号:US20220278762A1
公开(公告)日:2022-09-01
申请号:US17541160
申请日:2021-12-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Rui Wang , Yang Li , Yeqing Hu , Junmo Sung , Tiexing Wang , Jianzhong Zhang
IPC: H04B17/373 , H04B7/06
Abstract: Methods and apparatuses for a channel estimation and prediction operation in a wireless communication systems. A method of a BS comprises: receiving an SRS; partitioning, based on a partition policy, a frequency band of the SRS into sub-bandwidths in a frequency domain; generating, based on previously stored CSI in memory and the partition policy, a set of chunks corresponding to respective sub-bandwidths; performing CHPD operations corresponding to the respective sub-bandwidths to generate channel parameters, wherein different CHPD operations are applied to the respective sub-bandwidths; combining the channel parameters predicted from the respective sub-bandwidths in the frequency domain; and performing, based on the combined channel parameters, a channel estimation and prediction operation.
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公开(公告)号:US12284058B2
公开(公告)日:2025-04-22
申请号:US18310422
申请日:2023-05-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Junmo Sung , Tiexing Wang , Yeqing Hu , Yang Li , Jianzhong Zhang
IPC: H04L25/02
Abstract: A method and device for self-tuning scales of variables for processing in fixed-point hardware. The device includes a sequence of fixed-point arithmetic circuits configured to receive at least one input signal and output at least one output signal. The circuits are preconfigured with control scales associated with each of the input and output signals. A first circuit in the sequence is configured to receive a first input signal having a dynamic true scale that is different from the control scale associated with the first input signal. Each of the circuits is further configured to determine, for each of the output signals, an adaptive scale from the control scale associated with the output signal based on the true scale of the first input signal and the control scale associated with the first input signal, and generate, from the input signal, the output signal having the associated adaptive scale.
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公开(公告)号:US12250035B2
公开(公告)日:2025-03-11
申请号:US18365874
申请日:2023-08-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yeqing Hu , Xiaowen Tian , Yang Li , Tiexing Wang , Jianzhong Zhang
IPC: H04B7/0456 , H04L25/02
Abstract: A method includes identifying ACF information by: obtaining channel information including multiple channels of expected operation scenarios; and based on the channel information for each of the channels, determining MMSE channel estimation (CE) weights expressed in a form of ACFs and an SNR, and covariance matrices. The method includes clustering the MMSE CE weights into K clusters. A center ACF weight of each of the K clusters represents a codeword. The method includes determining a distance metric based on a cluster distance after a re-clustering. The method includes, in response to a determination that cluster distances before and after the clustering differ from each other by a non-negligibly, iteratively re-clustering the ACF information thereby updating the center ACF weights and cluster distances. The method includes generating the codebook to include an index k of each of the K clusters and the center ACF weight of each of the K clusters.
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公开(公告)号:US20240056144A1
公开(公告)日:2024-02-15
申请号:US18353841
申请日:2023-07-17
Applicant: Samsung Electronics Co., Ltd.
Inventor: R A Nadisanka Perera Rupasinghe , Tiexing Wang , Yang Li
IPC: H04B7/06 , H04B17/336 , H04B17/373
CPC classification number: H04B7/0608 , H04B17/336 , H04B17/373
Abstract: Methods and apparatuses for throughput prediction. A base station includes a transceiver configured to receive a set of input metrics and a processor operably coupled to the transceiver. The processor is configured to calculate, based on the set of input metrics, a transmit antenna selection (TAS) throughput prediction and further configured to generate, based on the TAS throughput prediction, a predicted TAS throughput result.
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公开(公告)号:US20210219161A1
公开(公告)日:2021-07-15
申请号:US17129797
申请日:2020-12-21
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yeqing Hu , Yang Li , Tiexing Wang , Junmo Sung , Rui Wang , Jianzhong Zhang
Abstract: A method for operating a base station comprises receiving channel information from a plurality of UEs; determining, based on the channel information, one or more UEs on which to base a channel prediction; computing a first set of metrics and a second set of metrics corresponding to the plurality of UEs, wherein computing the first set of metrics has a lower complexity than computing the second set of metrics; performing a selection process on the plurality of UEs based on the first and second set of metrics associated with the plurality of UEs; selecting a first subset of UEs from the plurality of UEs based on a first set of metrics; selecting, from the first subset, a second subset of UEs based on a second set of metrics; and performing the channel prediction based on the second subset of UEs.
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公开(公告)号:US12068799B2
公开(公告)日:2024-08-20
申请号:US17541160
申请日:2021-12-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Rui Wang , Yang Li , Yeqing Hu , Junmo Sung , Tiexing Wang , Jianzhong Zhang
IPC: H04B17/373 , H04B1/713 , H04B7/06 , H04L5/00
CPC classification number: H04B17/373 , H04B7/0626 , H04B7/0639 , H04B1/713 , H04L5/0048
Abstract: Methods and apparatuses for a channel estimation and prediction operation in a wireless communication systems. A method of a BS comprises: receiving an SRS; partitioning, based on a partition policy, a frequency band of the SRS into sub-bandwidths in a frequency domain; generating, based on previously stored CSI in memory and the partition policy, a set of chunks corresponding to respective sub-bandwidths; performing CHPD operations corresponding to the respective sub-bandwidths to generate channel parameters, wherein different CHPD operations are applied to the respective sub-bandwidths; combining the channel parameters predicted from the respective sub-bandwidths in the frequency domain; and performing, based on the combined channel parameters, a channel estimation and prediction operation.
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公开(公告)号:US20240063931A1
公开(公告)日:2024-02-22
申请号:US18363670
申请日:2023-08-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Tiexing Wang , R A Nadisanka Perera Rupasinghe , Daoud Burghal , Yang Li
IPC: H04B17/391 , H04B7/0417 , H04B7/06
CPC classification number: H04B17/3913 , H04B7/0417 , H04B7/0626
Abstract: Apparatuses and methods for transmission mode adaptation in New Radio (NR) with AI/ML assistance. A base station includes a transceiver configured to receive a set of input metrics. The set of input metrics comprises at least one metric derived from a channel state information (CSI) report. The base station further includes a processor operably coupled to the transceiver, the processor configured to determine, based on the set of input metrics, a first multiple-input multiple-output (MIMO) mode throughput prediction and a second MIMO mode throughput prediction, generate, based on the first MIMO mode throughput prediction, a predicted first MIMO mode throughput result, generate, based on the second MIMO mode throughput prediction, a predicted second MIMO mode throughput result, and select a MIMO mode based on the predicted first MIMO mode throughput result and the predicted second MIMO mode throughput result.
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公开(公告)号:US20230412428A1
公开(公告)日:2023-12-21
申请号:US18310422
申请日:2023-05-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Junmo Sung , Tiexing Wang , Yeqing Hu , Yang Li , Jianzhong Zhang
IPC: H04L25/02
CPC classification number: H04L25/024
Abstract: A method and device for self-tuning scales of variables for processing in fixed-point hardware. The device includes a sequence of fixed-point arithmetic circuits configured to receive at least one input signal and output at least one output signal. The circuits are preconfigured with control scales associated with each of the input and output signals. A first circuit in the sequence is configured to receive a first input signal having a dynamic true scale that is different from the control scale associated with the first input signal. Each of the circuits is further configured to determine, for each of the output signals, an adaptive scale from the control scale associated with the output signal based on the true scale of the first input signal and the control scale associated with the first input signal, and generate, from the input signal, the output signal having the associated adaptive scale.
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公开(公告)号:US20240056138A1
公开(公告)日:2024-02-15
申请号:US18365874
申请日:2023-08-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yeqing Hu , Xiaowen Tian , Yang Li , Tiexing Wang , Jianzhong Zhang
IPC: H04B7/0456 , H04L25/02
CPC classification number: H04B7/0456 , H04L25/0204 , H04L25/0256
Abstract: A method includes identifying ACF information by: obtaining channel information including multiple channels of expected operation scenarios; and based on the channel information for each of the channels, determining MMSE channel estimation (CE) weights expressed in a form of ACFs and an SNR, and covariance matrices. The method includes clustering the MMSE CE weights into K clusters. A center ACF weight of each of the K clusters represents a codeword. The method includes determining a distance metric based on a cluster distance after a re-clustering. The method includes, in response to a determination that cluster distances before and after the clustering differ from each other by a non-negligibly, iteratively re-clustering the ACF information thereby updating the center ACF weights and cluster distances. The method includes generating the codebook to include an index k of each of the K clusters and the center ACF weight of each of the K clusters.
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