WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF COMPENSATING I/Q IMBALANCE WITH NEURAL NETWORKS OR RECURRENT NEURAL NETWORKS

    公开(公告)号:US20230079385A1

    公开(公告)日:2023-03-16

    申请号:US18052797

    申请日:2022-11-04

    Inventor: Fa-Long Luo

    Abstract: Examples described herein include methods, devices, and systems which compensates input data for I/Q imbalance or noise related thereto to generate compensated input data. In doing such the above compensation, during an uplink transmission time interval (TTI), a switch path is activated to provide converted input data to a receiver stage including a recurrent neural network (RNN). The RNN calculates an error representative of the noise based partly on the input signal to be transmitted and a feedback signal to generate filter coefficient data associated with the I/Q imbalance. The feedback signal is provided, after processing through the receiver, to the RNN. During an uplink TTI, the converted input data is transmitted as the RF wireless transmission via an RF antenna. During a downlink TTI, the switch path is deactivated and the receiver stage receives an additional RF wireless transmission to be processed in the receiver stage.

    Mixing coefficient data for processing mode selection

    公开(公告)号:US11528048B2

    公开(公告)日:2022-12-13

    申请号:US17150016

    申请日:2021-01-15

    Inventor: Fa-Long Luo

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data delayed versions of at least a portion of the respective processing results with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data delayed versions of respective outputs of various layers of multiplication/accumulation processing units (MAC units) 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 wireless processing mode selection. In another example, such mixing input data with delayed versions of processing results may be to receive and process noisy wireless input data. 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.

    Apparatus and method to switch configurable logic units

    公开(公告)号:US11507531B2

    公开(公告)日:2022-11-22

    申请号:US17184945

    申请日:2021-02-25

    Abstract: Examples described herein include systems and methods which include an apparatus comprising a plurality of configurable logic units and a plurality of switches, with each switch being coupled to at least one configurable logic unit of the plurality of configurable logic units. The apparatus further includes an instruction register configured to provide respective switch instructions of a plurality of switch instructions to each switch based on a computation to be implemented among the plurality of configurable logic units. For example, the switch instructions may include allocating the plurality of configurable logic units to perform the computation and activating an input of the switch and an output of the switch to couple at least a first configurable logic unit and a second configurable logic unit. In various embodiments, configurable logic units can include arithmetic logic units (ALUs), bit manipulation units (BMUs), and multiplier-accumulator units (MACs).

    SYSTEMS FOR ERROR REDUCTION OF ENCODED DATA USING NEURAL NETWORKS

    公开(公告)号:US20220368356A1

    公开(公告)日:2022-11-17

    申请号:US17302228

    申请日:2021-04-27

    Abstract: Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to estimate an error-reduced version of encoded data based on a retrieved version of encoded data (e.g., data encoded using one or more encoding techniques) from a memory. The neural networks and/or recurrent neural networks may have nonlinear mapping and distributed processing capabilities which may be advantageous in many systems employing a neural network or recurrent neural network to estimate an error-reduced version of encoded data for an error correction coding (ECC) decoder, e.g., to facilitate decoding of the error-reduced version of encoded data at the decoder. In this manner, neural networks or recurrent neural networks described herein may be used to improve or facilitate aspects of decoding at ECC decoders, e.g., by reducing errors present in encoded data due to storage or transmission.

    WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF CONFIGURATION MODES FOR BASEBAND UNITS AND REMOTE RADIO HEADS

    公开(公告)号:US20220287037A1

    公开(公告)日:2022-09-08

    申请号:US17655742

    申请日:2022-03-21

    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.

    Method and device capable of executing instructions remotely in accordance with multiple logic units

    公开(公告)号:US11425740B2

    公开(公告)日:2022-08-23

    申请号:US16989051

    申请日:2020-08-10

    Abstract: Systems, apparatuses and method related to remotely executable instructions are described. A device may be wirelessly coupled to (e.g., physically separated) another device, which may be in a physically separate device. The another device may remotely execute instructions associated with performing various operations, which would have been entirely executed at the device absent the another device. The outputs obtained as a result of the execution may be transmitted, via the transceiver, back to the device via a wireless communication link (e.g., using resources of an ultra high frequency (UHF), super high frequency (SHF), extremely high frequency (EHF), and/or tremendously high frequency (THF) bands). The another device at which the instructions are remotely executable may include memory resources, processing resources, and transceiver resources; they may be configured to use one or several communication protocols over licensed or shared frequency spectrum bands, directly (e.g., device-to-device) or indirectly (e.g., via a base station).

    Wirelessly utilizable memory
    170.
    发明授权

    公开(公告)号:US11310644B2

    公开(公告)日:2022-04-19

    申请号:US16988971

    申请日:2020-08-10

    Abstract: Methods, apparatuses, and systems related to wireless main memory for computing are described. A device may include a processor that is wirelessly coupled to a memory array, which may be in a physically separate device. The processor may execute instructions stored in and wirelessly communicated from the memory array. The processor may read data from or write data to the memory array via a wireless communication link (e.g., using resources of an ultra high frequency, super high frequency, and/or extremely high frequency band). Several devices may have a small amount of local memory (or no local memory) and may share, via a wireless communication link, a main memory array. Memory devices may include memory resources and transceiver resources; they may be configured to use one or several communication protocols over licensed or shared frequency spectrum bands, directly (e.g., device-to-device) or indirectly (e.g., via a base station).

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