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公开(公告)号：US20230209411A1
公开(公告)日：2023-06-29
申请号：US17921536
申请日：2020-06-12
发明人： Jing DAI , Yuwei REN , Yu ZHANG , Chao WEI , Yin HUANG , Min HUANG , Qiaoyu LI , Jiuyuan LU , Hao XU
CPC分类号： H04W28/26 , H04W74/0808
摘要： Aspects described herein relate to determining to transmit, at a first time instance, a burst of multiple sensing signals in an unlicensed frequency band, transmitting, at a second time instance, a reservation signal in the unlicensed frequency band to reserve resources in the unlicensed frequency band for at least one of the multiple sensing signals, and transmitting, based on transmitting the reservation signal, the at least one of the multiple sensing signals.
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公开(公告)号：US20190182428A1
公开(公告)日：2019-06-13
申请号：US16324308
申请日：2017-02-24
发明人： Yin HUANG , Liang ZHANG , Xiaoyi ZHU , Ruowei WANG , Jiangtao REN
摘要： Embodiments include devices and methods for adaptive image processing in an unmanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image, while a processor of the UAV obtains attitude information from one or more attitude sensors. Such information may include the relative attitude of the UAV and changes in attitude. The processor of the UAV may determine a UAV motion mode based, at least in part, on the obtained attitude information. The UAV motion mode may result in the modification of yaw correction parameters. The processor of the UAV may further execute yaw filtering on the image based, at least in part, on the determined motion mode.
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3.发明公开公开(公告)号：US20230397172A1
公开(公告)日：2023-12-07
申请号：US18249191
申请日：2020-12-29
发明人： Qiaoyu LI , Hao XU , Yu ZHANG , Chenxi HAO , Chao WEI , Rui HU , Liangming WU , Ruiming ZHENG , Yin HUANG , Yuwei REN
IPC分类号： H04W72/044 , G06N20/00 , H04W28/02 , H04L41/16
CPC分类号： H04W72/044 , G06N20/00 , H04W28/0252 , H04L41/16
摘要： Methods, systems, and devices for wireless communications are described that support signaling of compressed gradient vectors in a machine learning system that utilizes federated learning. The compressed gradient vectors may be used to report stochastic gradients from multiple edge devices (e.g., multiple user equipment (UE) devices) that are combined into a global model at an edge server (e.g., a base station). A base station may configure a UE with one or more parameters for quantizing a local stochastic gradient, and for reporting the quantized local stochastic gradient in a set of compressed gradient vectors. Each vector of the compressed gradient vectors may be associated with a different stage of a multi-stage compression procedure for reporting the local stochastic gradient, and multiple reports from multiple UEs may be aggregated in a federated learning procedure associated with a machine learning algorithm.
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公开(公告)号：US20190174063A1
公开(公告)日：2019-06-06
申请号：US16324351
申请日：2016-09-23
发明人： Yin HUANG , Liang ZHANG , Xiaoyi ZHU , Ruowei WANG , Jiangato REN
摘要： Embodiments include devices and methods for adaptive image processing in an umnanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image. Images may be obtained during motion or hover modes of the UAV. The UAV may determine whether stabilizing a line of the image causes a breach of an image crop margin. That is, the UAV may estimate or begin to adjust image distortion and crop the image, and may evaluate during or after the estimation/adjustment whether an image crop margin is breached by the result. The UAV may reduce stabilizing of the line of the image in response to determining that stabilizing the line of the image causes a breach of the image crop margin.
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公开(公告)号：US20230379692A1
公开(公告)日：2023-11-23
申请号：US18024263
申请日：2020-10-13
发明人： Yuwei REN , Ruiming ZHENG , Hao XU , Yin HUANG
摘要： A UE may indicate, to a wireless network, a capability to support one or more versions of an ML processing model, and a wireless network entity of the wireless network may configure the UE to apply a version of the ML processing model that is supported by the UE. The indication from the UE may indicate the capability to support one or more of a first version of the ML processing model that is common across multiple wireless networks and at least one alternate version of the ML processing model, such as a version that is specific to a network. The wireless network entity may configure at least one of a network specific algorithm structure or one or more weights for an network specific machine learning model that is supported by the UE.
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公开(公告)号：US20230276208A1
公开(公告)日：2023-08-31
申请号：US18005986
申请日：2020-09-18
发明人： Yuwei REN , Yin HUANG , Hao XU , Andrian BELETCHI , Chirag Sureshbhai PATEL
摘要： Wireless communication systems and methods related to user equipment (UE) context scenario indication-based configurations in a wireless communication network are provided. A UE obtains, from one or more sensors, sensor data. The UE identifies, based on the sensor data, a first context scenario associated with a surrounding environment of the UE or a user status. The UE transmits, to a base station (BS), an indication of the first context scenario. The UE receives, from the BS in response to the indication, a first configuration for the first context scenario.
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公开(公告)号：US20150312056A1
公开(公告)日：2015-10-29
申请号：US14646360
申请日：2013-01-08
申请人： Haitao ZHANG , Yin HUANG , Jian LI , Yisheng XUE , QUALCOMM INCORPORATED
发明人： Haitao ZHANG , Yin HUANG , Jian LI , Yisheng XUE
CPC分类号： H04L25/0212 , H04B10/60 , H04L1/0054 , H04L25/03057
摘要： A receiver is disclosed that includes a slicer having an input to receive a sequence of symbols exhibiting inter-symbol-interference (ISI). The slicer determines a state associated with each symbol based on a threshold. A feedback equalization unit is coupled to the slicer to apply equalization to the symbol fed to the slicer input based on prior detected symbol states. A Least-Mean-Square (LMS) unit cooperates with the slicer and feedback equalization unit to estimate a channel impulse response based on the equalized symbols. The LMS unit feeds the estimated channel impulse response to a Maximum-Likelihood-Sequence-Estimation (MLSE) unit to generate an estimated sequence of bits based on the estimated channel impulse response.
摘要翻译： 公开了一种接收器，其包括具有用于接收呈现符号间干扰（ISI）的符号序列的输入的限幅器。 限幅器基于阈值确定与每个符号相关联的状态。 反馈均衡单元耦合到限幅器，以基于先前检测的符号状态对馈送到限幅器输入的符号施加均衡。 最小均方（LMS）单元与限幅器和反馈均衡单元协作以基于均衡符号来估计信道脉冲响应。 LMS单元将估计的信道脉冲响应馈送到最大似然序列估计（MLSE）单元，以基于所估计的信道脉冲响应来产生估计的比特序列。
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公开(公告)号：US20240147267A1
公开(公告)日：2024-05-02
申请号：US18548065
申请日：2021-05-14
发明人： Yuwei REN , Ruiming ZHENG , Chenxi HAO , Xipeng ZHU , Shankar KRISHNAN , Taesang YOO , Yu ZHANG , Hao XU , Yin HUANG
IPC分类号： H04W24/04 , H04L41/0654 , H04L41/16 , H04W24/02
CPC分类号： H04W24/04 , H04L41/0654 , H04L41/16 , H04W24/02
摘要： A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.
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公开(公告)号：US20240121674A1
公开(公告)日：2024-04-11
申请号：US18257571
申请日：2021-03-03
发明人： Yuwei REN , Peng CHENG , Hao XU , Yin HUANG
CPC分类号： H04W36/0058 , H04W36/085 , H04W36/30 , H04W36/324
摘要： Techniques to incorporate quality of experience (QoE) in mobility management are disclosed. A user equipment (UE) may provide a QoE report to network (e.g., cell) upon detection of a QoE report triggering event (e.g., mobility management, environmental trigger, etc.). The QoE report may comprise information related to QoE metrics such as uplink (UL) latency, UL throughput, UL error rate, downlink (DL) frequency, DL throughput, DL error rate, handover (HO) frequency, beam switch frequency, UE power consumption, etc. The network may take actions such as sending a mobility management command if it is decided that QoE should be restored to the UE.
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公开(公告)号：US20240121621A1
公开(公告)日：2024-04-11
申请号：US18276438
申请日：2021-04-21
发明人： Yuwei REN , Chenxi HAO , Yu ZHANG , Ruiming ZHENG , Liangming WU , Qiaoyu LI , Rui HU , Hao XU , Yin HUANG
摘要： A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.
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