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    Method and apparatus for high rank multiple-input multiple-output (MIMO) symbol detection
    11.
    发明授权
    Method and apparatus for high rank multiple-input multiple-output (MIMO) symbol detection 有权

    公开(公告)号：US10778300B2

    公开(公告)日：2020-09-15

    申请号：US16273632

    申请日：2019-02-12

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hyukjoon Kwon ,  Xiaoqiang Ma ,  Kee-Bong Song

    IPC: H04B7/0456 ,  H04B7/08 ,  H04L1/00

    Abstract: A method and an apparatus in a multiple-input multiple-output (MIMO) wireless communication system are provided. A signal is received over a channel. The channel is decomposed into a plurality of virtual channels. Symbol detection is performed on each of the plurality of virtual channels using respective symbol detectors. At least one of the symbol detectors has a lower rank than that of the channel. Output from the symbol detectors is combined to obtain final log likelihood ration (LLR) values for layers of the channel. Decoding is performed using the final LLR values to output a decoded symbol value of the received signal.

    Apparatus and method for single antenna interference cancellation (SAIC) enhancement
    15.
    发明授权
    Apparatus and method for single antenna interference cancellation (SAIC) enhancement 有权

    公开(公告)号：US09866411B1

    公开(公告)日：2018-01-09

    申请号：US15381970

    申请日：2016-12-16

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Kee-Bong Song ,  Hairuo Zhuang ,  Ming Yan

    IPC: H04L25/03 ,  H04B15/00 ,  H04L25/06 ,  H04L1/00 ,  H04L27/22

    CPC classification number: H04L25/03057 ,  H04L25/067 ,  H04L27/22

    Abstract: An interference cancellation (IC) processor, a method, a method of manufacturing a semiconductor device, and a method of constructing an integrated circuit are provided. The IC processor includes a plurality of mono interference cancellation (MIC) filter estimation processors, each including a different equalizer offset k0 and an input for receiving a de-rotated signal, and providing an effective channel hres,i and an estimated filter pi; a plurality of filters, each including an input connected to the plurality of MIC filter estimation processors, and an output; a plurality of multipliers, each including a first input connected to the plurality of filters, a second input for receiving a weight, and an output; and a branch combiner including a plurality of inputs connected to the plurality of multipliers, a first output for providing a combined residual channel Hres, and a second output for providing a projected output y of the de-rotated signal.

    COMMUNICATION SYSTEM WITH CELL SELECTION MECHANISM AND METHOD OF OPERATION THEREOF
    16.
    发明申请
    COMMUNICATION SYSTEM WITH CELL SELECTION MECHANISM AND METHOD OF OPERATION THEREOF 有权
    具有细胞选择机制的通信系统及其操作方法

    公开(公告)号：US20150080043A1

    公开(公告)日：2015-03-19

    申请号：US14187864

    申请日：2014-02-24

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Fan Wang ,  Kee-Bong Song ,  Seongho Hur ,  Jeong Heon Lee ,  KiHyun Do

    IPC: H04W72/08

    CPC classification number: H04W48/16 ,  H04W48/20

    Abstract: A communication system includes: an antenna configured to receive a receiver signal; a communication unit, coupled to the antenna, configured to: generate a power analysis result including a signal-interference measure based on the receiver signal; and select a transmission frequency based on the signal-interference measure for communicating through a device.

    Abstract translation: 通信系统包括：被配置为接收接收机信号的天线; 耦合到所述天线的通信单元，被配置为：产生包括基于所述接收机信号的信号干扰测量的功率分析结果; 并且基于用于通过设备进行通信的信号干扰测量来选择传输频率。

    Hardware allocation in RFIC based on machine learning
    18.
    发明授权
    Hardware allocation in RFIC based on machine learning 有权

    公开(公告)号：US11960952B2

    公开(公告)日：2024-04-16

    申请号：US17834845

    申请日：2022-06-07

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Shailesh Chaudhari ,  Hyukjoon Kwon ,  Kee-Bong Song ,  Dongwoon Bai

    IPC: G06K19/06 ,  G06K19/07 ,  G06N3/08

    CPC classification number: G06K19/0723 ,  G06N3/08

    Abstract: A system and method for configuring an RF network based on machine learning. In some embodiments, the method includes: receiving, by a first neural network, a first state and a first state transition, the first state including: one or more identifiers for available active ports, and a set of available connections between two or more circuit elements, each of the circuit elements being one of: (1) a first circuit type, (2) a second circuit type that operatively connects a circuit element of the first circuit type to one of the available active ports, and (3) the available active ports; and generating, by the first neural network, a first estimated quality value, for the first state transition.

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