Millimeter-wave beam alignment assisted by ultra wide band (UWB) radio

    公开(公告)号:US11616548B2

    公开(公告)日:2023-03-28

    申请号:US17410091

    申请日:2021-08-24

    Abstract: A first device and second device communicate using mmWave communication with antenna alignment based on processing of ultra wide band (UWB) pulses. A limit on angle resolution due to a small number of antennas on either of the devices is relieved by using two or more carrier frequencies in the UWB pulses. A limit on angle resolution is further overcome in some situations by use of a neural network to refine angle estimates. In some situations, received power values are further used to select an angle for beam alignment.

    ADAPTIVE DYNAMIC PROGRAMMING FOR ENERGY-EFFICIENT BASE STATION CELL SWITCHING

    公开(公告)号:US20240422667A1

    公开(公告)日:2024-12-19

    申请号:US18631726

    申请日:2024-04-10

    Abstract: A method performed by at least one processor of a network device in communication with a plurality of base stations, the method including: receiving historical data collected by one or more base stations from the plurality of base stations, the historical data indicating one or more of a power consumption, handover data, and quality of service (QOS); generating, from the historical data, training data comprising a plurality of cell states and a corresponding random action for each cell state; and training one or more neural network estimators based on the training data, where the one or more neural network estimators comprise one or more of a power consumption estimator, a QoS estimator, and a handover prediction estimator, and where each base station from the plurality of base stations is associated with a respective cell.

    APPARATUS AND METHOD FOR CONTROLLING ROBOTIC MANIPULATORS

    公开(公告)号:US20240308082A1

    公开(公告)日:2024-09-19

    申请号:US18506672

    申请日:2023-11-10

    CPC classification number: B25J9/1697 B25J9/1664

    Abstract: A method for controlling a robot including a manipulator is provided. The method may include: acquiring an image of a scene including a target object; inputting the image into a control policy model to obtain an object placement pose of the manipulator, as an output of the control policy model, wherein the control policy model is generated using data collected by a data collection system that is configured to acquire an object retrieval trajectory by observing a robot movement for object retrieval, and reverse the object retrieval trajectory into an object placement trajectory; and commanding the robot to position the manipulator according to the object placement pose, to place the target object at a designated location.

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