Qualcomm Incorporated

Tom Barak

Michael Levitsky

Assaf Touboul

Daniel Paz

Alexander Vladimir Sverdlov

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a first downlink transmission. The UE may receive an uplink transmission that includes channel state information including an indication of one or more samples of the first downlink transmission, wherein the one or more samples, before reception of the uplink transmission, are unprocessed for a channel estimation. The UE may transmit a second downlink transmission in accordance with the channel estimation that is based at least in part on the one or more samples. Numerous other aspects are described.

Channel estimation based on samples of downlink transmission

Methods, systems, and devices for wireless communications are described. For example, a transmitting device, such as a user equipment (UE) or network entity, may apply a pre-equalization operation and a normalization operation prior to transmitting a signal with an intra-symbol duty cycle. A receiving device (e.g., a UE or network entity) may receive the pre-equalized signal with a relatively low demodulation complexity based on the transmitting device pre-equalizing the signal. Additionally, or alternatively, the transmitting device may transmit an indication of the duty cycle to the receiving device in addition to the signal. The receiving device may divide the signal into streams and process the streams based on the indication of the duty cycle. Splitting the signal into streams and processing the streams to estimate symbols of the signal may support a relatively low demodulator complexity at the receiving device.

High performance low power link for ultra-wideband

Methods, systems, and devices for wireless communications are described. In some examples, the first wireless device may transmit, to a second wireless device, a control message indicating a set of pre-equalization transmission schemes supported by the first wireless device for receipt of messaging pre-equalized by the second wireless device. The first wireless device may transmit a measurement report that indicates a measurement of a wireless channel between the first wireless device and the second wireless device, where the measurement may be a signal-to-interference and noise (SINR) measurement. The first wireless device may receive a control signal indicative of a first pre-equalization transmission scheme to be used by the second wireless device for pre-equalization based at least in part on the set of pre-equalization transmission schemes and the measurement. The first wireless device may receive, via the wireless channel, a downlink message pre-equalized in accordance with the first pre-equalization transmission scheme.

Techniques for dynamic pre-equalization switching

Various aspects of the present disclosure generally relate to wireless communication. Some aspects more specifically relate to discrete Fourier transform spread orthogonal frequency division multiplexing (DFT-S-OFDM) waveform pre-equalization for MIMO communications. A receiver device, such as an extended reality (XR) device, may be configured to offload a portion of data processing to a companion device, such as a user equipment (UE). In some aspects, the UE may generate a DFT-S-OFDM waveform and may apply a pre-equalization to the DFT-S-OFDM waveform. Applying the pre-equalization to the DFT-S-OFDM waveform may include applying a minimum mean square error (MMSE) pre-equalization to the DFT-S-OFDM waveform. The receiver device may receive the pre-equalized DFT-S-OFDM waveform from the UE and may process the pre-equalized DFT-S-OFDM waveform. For example, the receiver device may decode the pre-equalized DFT-S-OFDM waveform without performing fast Fourier transform (FFT) or inverse discrete Fourier transform (IDFT) operations.

Discrete Fourier transform spread orthogonal frequency division multiplexing waveform pre-equalization

Methods, systems, and devices for wireless communications are described. The described techniques provide for a user equipment (UE) to perform receiver-side noise statistics (Rnn) estimation and for an extended reality (XR) device to perform log likelihood ratio (LLR) scaling estimation. For example, the UE may transmit a first set of reference signals to the XR device. The XR device may sample the reference signals and transmit an indication of quantized samples such that the UE may perform Rnn estimations and generate a pre-equalization matrix. The UE may transmit a set of pre-equalized reference signals to the XR device such that the XR device may estimate LLR scaling coefficients. In some examples, the UE may determine the pre-equalization matrix by performing a filtering of reference signal measurements. The UE may apply whitening to account for momentary interference, and may indicate a whitening matrix to the XR device.

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Rehovot, Israel

Tom Barak