中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

145 records (took 0.025 seconds)

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CONFIGURATION MODES FOR BASEBAND UNITS AND REMOTE RADIO HEADS
    103.
    发明申请
    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CONFIGURATION MODES FOR BASEBAND UNITS AND REMOTE RADIO HEADS 审中-公开

    公开(公告)号：US20200305161A1

    公开(公告)日：2020-09-24

    申请号：US16893740

    申请日：2020-06-05

    Applicant: Micron Technology, Inc.

    Inventor： Fa-Long Luo ,  Jaime Cummins ,  Tamara Schmitz ,  Jeremy Chritz

    IPC: H04W72/04 ,  H04W72/08 ,  H04B10/2575

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of configuration modes for baseband units (BBU) and remote radio heads (RRH). For example, a computing system including a BBU and a RRH may receive a configuration mode selection including information indicative of a configuration mode for respective processing units of the BBU and the RRH. The computing system may allocate the respective processing units to perform wireless processing stages associated with a wireless protocol. The BBU and/or the RRH may generate an output data stream based on the mixing of coefficient data with input data at the BBU and/or the RRH. Examples of systems and methods described herein may facilitate the processing of data for 5G (e.g., New Radio (NR)) wireless communications in a power-efficient and time-efficient manner.

    Neuron calculator for artificial neural networks
    104.
    发明授权
    Neuron calculator for artificial neural networks 有权

    公开(公告)号：US10601471B1

    公开(公告)日：2020-03-24

    申请号：US16115866

    申请日：2018-08-29

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Fa-Long Luo ,  Jaime Cummins ,  Tamara Schmitz ,  Jeremy Chritz

    IPC: H04B7/02 ,  H04B7/0413 ,  G06N3/08 ,  G06N3/04

    Abstract: Examples described herein include systems and methods, including wireless devices and systems with neuron calculators that may perform one or more functionalities of a wireless transceiver. The neuron calculator calculates output signals that may be implemented, for example, using accumulation units that sum the multiplicative processing results of ordered sets from ordered neurons with connection weights for each connection between an ordered neuron and outputs of the neuron calculator. The ordered sets may be a combination of some input signals, with the number of signals determined by an order of the neuron. Accordingly, a kth-order neuron may include an ordered set comprising product values of k input signals, where the input signals are selected from a set of k-combinations with repetition. As an example in a wireless transceiver, the neuron calculator may perform channel estimation as a channel estimation processing component of the receiver portion of a wireless transceiver.

    MEMORY DEVICES AND METHODS WHICH MAY FACILITATE TENSOR MEMORY ACCESS
    106.
    发明申请
    MEMORY DEVICES AND METHODS WHICH MAY FACILITATE TENSOR MEMORY ACCESS 审中-公开

    公开(公告)号：US20200034306A1

    公开(公告)日：2020-01-30

    申请号：US16043921

    申请日：2018-07-24

    Applicant: Micron Technology, Inc.

    Inventor： Fa-Long Luo ,  Jaime Cummins ,  Tamara Schmitz ,  Jeremy Chritz

    IPC: G06F12/0893 ,  G06F12/02 ,  G06F12/0864

    Abstract: Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

    Wireless devices and systems including examples of mixing input data with coefficient data
    107.
    发明授权
    Wireless devices and systems including examples of mixing input data with coefficient data 有权

    公开(公告)号：US10439855B2

    公开(公告)日：2019-10-08

    申请号：US16034751

    申请日：2018-07-13

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Jeremy Chritz ,  Tamara Schmitz ,  Fa-Long Luo ,  Jaime Cummins

    IPC: H04L27/04 ,  H04L27/12 ,  H04L27/20 ,  H04L27/26 ,  G06F19/00 ,  H04B1/00

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to the wireless protocol in the RF wireless domain. A computing device may be trained to generate coefficient data based on the operations of a wireless transceiver such that mixing input data using the coefficient data generates an approximation of the output data, as if it were processed by the wireless transceiver. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

    Autocorrelation and memory allocation for wireless communication
    108.
    发明授权
    Autocorrelation and memory allocation for wireless communication 有权

    公开(公告)号：US10305555B2

    公开(公告)日：2019-05-28

    申请号：US15789600

    申请日：2017-10-20

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Fa-Long Luo ,  Tamara Schmitz ,  Jeremy Chritz ,  Jaime Cummins

    IPC: H04B7/08 ,  G06F17/15 ,  H04W84/00 ,  H04B7/0456

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of an autocorrelation calculator. An electronic device including an autocorrelation calculator may be configured to calculate an autocorrelation matrix including an autocorrelation of symbols indicative of a first radio frequency (“RF”) signal and a second RF signal. The electronic device may calculate the autocorrelation matrix based on a stored autocorrelation matrix and the autocorrelation of symbols indicative of the first RF signal and symbols indicative of the second RF signal. The stored autocorrelation matrix may represent another received signal at a different time period than a time period of the first and second RF signals. Examples of the systems and methods may facilitate the processing of data for wireless and may utilize less memory space than a device than a scheme that stores and calculates autocorrelation from a large dataset computed from various timepoints.

Patent Agency Ranking