Forward predictive precoded MIMO
    2.
    发明授权

    公开(公告)号:US11936453B2

    公开(公告)日:2024-03-19

    申请号:US17165368

    申请日:2021-02-02

    CPC classification number: H04B7/0626 H04B7/0452 H04B7/0456 H04L25/0226

    Abstract: Multi-User Multiple Input, Multiple Output (MU-MIMO) data transmissions are provided with a forward-predictive precoding matrix to mitigate the effects of a change in a state of a communication channel. First and second soundings are performed, at first and second times, to a receive antenna over a channel and, responsive to each of the soundings, first and second Channel State Information (CSI) are received. Based on the first and second CSI, a change in a state of the channel over a time period between the first and second time is determined. Based on the change in the state of the channel, a forward-predictive channel state matrix and/or a forward-predictive precoding matrix are determined that reflect a state of the channel at a future time and that are consistent with the determined change in the state over the time period. The forward-predictive precoding matrix is applied to a data transmission.

    WIRELESS RELIABILITY FOR DEVICES IN MOTION

    公开(公告)号:US20230054643A1

    公开(公告)日:2023-02-23

    申请号:US17445290

    申请日:2021-08-17

    Abstract: Techniques for improved wireless reliability are provided. Data is transmitted to a client device using a first set of retry parameters. It is determined that the client device is an augmented reality (AR) or virtual reality (VR) device, and a second set of retry parameters is determined, where the second set of retry parameters are more robust than the first set of retry parameters. Data is transmitted to the client device using the second set of retry parameters.

    Learning-based wireless transmission parameter adaptation based on client activity detection

    公开(公告)号:US11070301B2

    公开(公告)日:2021-07-20

    申请号:US16292998

    申请日:2019-03-05

    Abstract: An access point (AP) is configured to transmit packets to a client device over a communication channel. The AP determines a motion indictor indicative of motion of the client device based on a sequence of channel state information measurements, and measures a signal-to-noise ratio (SNR). The AP selects a transmission parameter among candidate transmission parameters using a learning-based algorithm based on observation parameters including the motion indicator, the SNR, and a device identifier for the client device. The AP employs the transmission parameter to transmit packets to the client device, and measures a transmission performance associated with the transmission parameter based on the transmitted packets. The AP updates the learning-based algorithm based on the observation parameters and the transmission performance for a next pass through the selecting, the employing, and the measuring.

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