公开(公告)号：US20190065951A1

公开(公告)日：2019-02-28

申请号：US16114923

申请日：2018-08-28

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: G06N3/08 ,  G06N3/04 ,  H04W4/38 ,  H04W4/02

Abstract: Systems, methods, and apparatuses related to cooperative learning neural networks are described. Cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. For example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. The disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. The disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

公开(公告)号：US20190020596A1

公开(公告)日：2019-01-17

申请号：US16118086

申请日：2018-08-30

Applicant: MICRON TECHNOLOGY, INC.

Inventor： Jeremy Chritz ,  Tamara Schmitz ,  John L. Watson ,  John Schroeter ,  Fa-Long Luo ,  Jaime Cummins

IPC: H04L12/933 ,  H04W4/80 ,  H04B7/04

Abstract: An apparatus is disclosed. The apparatus comprises a plurality of antennas and an integrated circuit chip coupled to the plurality of antennas, and is configured to process cellular signals received from the plurality of antennas in accordance with a cellular communication protocol and to process radio frequency identification (RFID) signals received from the plurality of antennas in accordance with an RFID protocol.

公开(公告)号：US10142137B2

公开(公告)日：2018-11-27

申请号：US15447731

申请日：2017-03-02

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04L25/08 ,  H04L5/14 ,  H04B17/345 ,  H04B7/04

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is received by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same frequency band as the wireless receiver is receiving.

公开(公告)号：US20180227158A1

公开(公告)日：2018-08-09

申请号：US15941532

申请日：2018-03-30

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04L27/26 ,  H04L1/00 ,  H04B1/04

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data specific to a processing mode selection. 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 a specific processing mode selection. The processing mode selection may include a single processing mode, a multi-processing mode, or a full processing mode. The processing mode selection may be associated with an aspect of a wireless protocol. 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.

公开(公告)号：US11973525B2

公开(公告)日：2024-04-30

申请号：US18065062

申请日：2022-12-13

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04B1/04 ,  H04B1/525 ,  H04L5/14

CPC classification number: H04B1/0475 ,  H04B1/525 ,  H04L5/14

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator that compensates for the self-interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is receivable by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same or different frequency band as the wireless receiver is receiving.

公开(公告)号：US11941518B2

公开(公告)日：2024-03-26

申请号：US16114923

申请日：2018-08-28

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/023 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

Abstract: Systems, methods, and apparatuses related to cooperative learning neural networks are described. Cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. For example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. The disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. The disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

公开(公告)号：US11941516B2

公开(公告)日：2024-03-26

申请号：US15693142

申请日：2017-08-31

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/023 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

Abstract: Systems, methods, and apparatuses related to cooperative learning neural networks are described. Cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. For example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. The disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. The disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

公开(公告)号：US20230394143A1

公开(公告)日：2023-12-07

申请号：US18104079

申请日：2023-01-31

Applicant: Micron Technology, Inc

Inventor： Aaron P. Boehm ,  David Hulton ,  Jeremy Chritz ,  Tamara Schmitz ,  Max S. Vohra

IPC: G06F21/55 ,  G06F21/57 ,  G06F21/79

CPC classification number: G06F21/556 ,  G06F21/575 ,  G06F21/79

Abstract: Methods, systems, and devices for protective actions for a memory device based on detecting an attack are described. In some systems, a memory device may detect whether a fault is injected into the memory device. The memory device may apply a delay during boot up if a fault is detected. To ensure the delay is applied, the memory device may default to applying the delay and may remove an indication to apply the delay if a fault is not detected. Additionally or alternatively, the memory device may erase information from non-volatile memory during boot up, for example, if a fault is detected. The memory device may be configured to ensure at least a specific portion of memory resources (e.g., resources configured to store sensitive information) is erased during boot up. In some examples, the memory device may store data using a stream cipher to improve security of the data.

公开(公告)号：US11784923B2

公开(公告)日：2023-10-10

申请号：US17517544

申请日：2021-11-02

Applicant: MICRON TECHNOLOGY, INC.

Inventor： Jeremy Chritz ,  David Hulton ,  John Schroeter ,  John Watson

IPC: H04L45/44 ,  H04L45/12 ,  H04L45/00 ,  H04L45/02 ,  H04L45/122

CPC classification number: H04L45/44 ,  H04L45/12 ,  H04L45/124 ,  H04L45/04 ,  H04L45/122 ,  H04L45/14 ,  H04L45/22

Abstract: A device comprising a plurality of antennas operable to transmit and receive communication packets via a plurality of communication protocols and an integrated circuit chip coupled to the plurality of antennas. The integrated circuit chip comprises a first and a second plurality of processing elements. The first plurality of processing elements operable to receive communication packets via a first one of a plurality of communication protocols and process an optimal route. The second plurality of processing elements communicatively coupled to the first plurality of processing elements and operable to determine the optimal route to transmit the communication packets from a source device to a destination device based, at least in part, on transmission characteristics associated with at least one of the source or destination devices.

公开(公告)号：US11665710B2

公开(公告)日：2023-05-30

申请号：US17190349

申请日：2021-03-02

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04W72/04 ,  H04W88/08

CPC classification number: H04W72/0433 ,  H04W88/085 ,  Y02D30/70

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 allocates 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 wireless communications in a power-efficient and time-efficient manner.