Distortion probing reference signal configuration

    公开(公告)号:US11716183B2

    公开(公告)日:2023-08-01

    申请号:US17387248

    申请日:2021-07-28

    CPC classification number: H04L5/0048 H04B17/309

    Abstract: Methods, systems, and devices for wireless communications are described. A configuration for a reference signal used to determine a non-linear behavior of transmission components at a transmitting device may be determined. The configuration for the reference signal may be determined based on signaling transmitted by the transmitting device, signaling transmitted by a device that receives the reference signal, or both. Additionally, or alternatively, the configuration for the reference signal may be determined based on a configuration of other signals transmitted by the transmitting device prior to or concurrently with the transmission of the reference signal. The determined configuration may be used to generate and transmit the reference signal or to determine a configuration of a received reference signal. In both cases, a non-linear response of transmission components at the transmitting device may be determined based on the reference signal.

    Hybrid channel state feedback
    35.
    发明授权

    公开(公告)号:US11546029B2

    公开(公告)日:2023-01-03

    申请号:US17310312

    申请日:2020-01-28

    Abstract: Methods, systems, and devices for wireless communications are described. Techniques described herein provide for a user equipment (UE) receiving a set of downlink reference signals associated with a downlink channel. In some cases, the set of downlink reference signals may include a channel state information reference signals (CSI-RS). The UE may calculate a transmission rank and a channel quality based on the received set of downlink reference signals. In some cases, the indication of the transmission rank may include a rank indication (RI), and the indication of the channel quality includes a channel quality indicator (CQI). The UE may then transmit the indications of the transmission rank and the channel quality using an uplink control channel, and may transmit an indication of a remaining channel state feedback using a precoded uplink reference signal.

    Reciprocal channel sounding reference signal multiplexing

    公开(公告)号:US11374711B2

    公开(公告)日:2022-06-28

    申请号:US16538548

    申请日:2019-08-12

    Abstract: Systems and techniques are disclosed to enhance the efficiency of available bandwidth between UEs and base stations. A UE transmits a sounding reference signal (SRS) to the base station. The base station characterizes the uplink channel based on the SRS received and, using reciprocity, applies the channel characterization for the downlink channel. As part of applying the channel information, the base station forms the beam to the UE based on the uplink channel information obtained from the SRS. The UE may include an array of antennas, each UE transmitting a different SRS that the base station receives and uses to characterize the downlink. Multiple UEs (or a single UE with multiple antennas) transmit SRS at the same time and frequency allocation (non-orthogonal), but with each sending its own unique SRS. Further, multiple UEs (or a single UE with multiple antennas) may send their SRS at unique time/frequency allocations (orthogonal).

    Machine Learning Based Nonlinearity Mitigation Using Peak Reduction Tones

    公开(公告)号:US20220070040A1

    公开(公告)日:2022-03-03

    申请号:US17384411

    申请日:2021-07-23

    Abstract: Various embodiments include methods for demodulating wireless transmission waveforms to reconstruct data tones, performed in receiver circuitry of a wireless communication device. The methods may include receiving time domain wireless transmission waveforms that include time domain peak reduction tones (PRTs) that were generated by a set of PRT neural networks using time domain data signals derived from frequency domain data tones in another wireless communication device, reconstructing the time domain data signals from the time domain wireless transmission waveforms using a receiver neural network that has been trained in conjunction with the set of PRT neural networks to generate a time domain reconstruction of data signals, and transforming the time domain reconstruction of data signals to a frequency domain reconstruction of data tones.

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