WIRELESS DEVICES AND SYSTEMS INCLUDING EXAMPLES OF MIXING INPUT DATA WITH COEFFICIENT DATA

    公开(公告)号:US20180324021A1

    公开(公告)日:2018-11-08

    申请号:US16034751

    申请日:2018-07-13

    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.

    Wireless devices and systems including examples of configuration modes for baseband units and remote radio heads

    公开(公告)号:US10070432B1

    公开(公告)日:2018-09-04

    申请号:US15447699

    申请日:2017-03-02

    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.

    Wireless devices and systems including examples of mixing coefficient data specific to a processing mode selection

    公开(公告)号:US12237918B2

    公开(公告)日:2025-02-25

    申请号:US18318162

    申请日:2023-05-16

    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.

    Memory devices and methods which may facilitate tensor memory access

    公开(公告)号:US12229044B2

    公开(公告)日:2025-02-18

    申请号:US17888748

    申请日:2022-08-16

    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.

    COOPERATIVE LEARNING NEURAL NETWORKS AND SYSTEMS

    公开(公告)号:US20240256869A1

    公开(公告)日:2024-08-01

    申请号:US18609221

    申请日:2024-03-19

    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.

    TEMPERATURE CHANGE MEASUREMENT TO DETECT ATTACK

    公开(公告)号:US20230334152A1

    公开(公告)日:2023-10-19

    申请号:US17659409

    申请日:2022-04-15

    CPC classification number: G06F21/554 G01K3/005 G01K1/026

    Abstract: Methods, systems, and devices for temperature change measurement to detect an attack on a memory device are described. A memory device may measure a rate of change for temperature readings at a dynamic random access memory (DRAM) component of the memory device (e.g., using sensors at the DRAM component). The memory device may compare the rate of change for the temperature to a threshold, for example, using circuitry, a threshold value stored in memory, or both. If the memory device determines that the rate of change for the temperature satisfies the threshold, the memory device may disable one or more features of the memory device to protect against a potential attack. For example, an attack on the memory device may be indicated by the change in temperature readings at the DRAM component, and the memory device may perform one or more protective measures based on detecting the temperature change.

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