H04L25/0222

TRANSMISSION DEVICE, TRANSMISSION METHOD, RECEIVING DEVICE AND RECEIVING METHOD
20220131597 · 2022-04-28 ·

Provided is a frame configuration usable for both SISO transmission and MISO and/or MIMO transmission. A frame configurator of a transmission device configures a frame by gathering data for SISO and configures a frame by gathering data for MISO and/or MIMO data, thereby to improve the reception performance (detection performance) of a reception device.

DEVICES AND METHODS OF SELECTING SIGNAL PROCESSING ALGORITHM BASED ON PARAMETERS

A device for performing wireless communication at least one processor configured to generate a condition signal based on at least one parameter associated with the device or the wireless communication, and select at least one of a plurality of signal processing algorithms for performing at least one of a plurality of signal processing functions based on the condition signal, each of the plurality of signal processing functions being associated with the wireless communication.

SIGNAL GENERATING METHOD AND SIGNAL GENERATING APPARATUS
20230246678 · 2023-08-03 ·

A transmission apparatus that (i) generates a Quadrature Phase Shift Keying (QPSK) modulation signal s1(t) by applying a QPSK modulation scheme to a first data sequence, (ii) generates a 16-Quadrature Amplitude Modulation (QAM) modulation signal s2(t) by applying a 16-QAM modulation scheme to a second data sequence, (iii) generates a transmission signal z1(t) and a second transmission signal z2(t) by applying a phase hopping process, a precoding process, and a power adjust process to the QPSK modulation signal s1(t) and the 16-QAM modulation signal s2(t), wherein an average transmission power of the 16-QAM modulation signal s2(t) being the same as an average transmission power of the QPSK modulation signal s1(t), and (iv) transmits the transmission signal z1(t) from a first antenna at a first time and a first frequency and the second transmission signal z2(t) from a second antenna at the first time and the first frequency.

COMPRESSIVE SENSING BASED CHANNEL RECOVERY CONSIDERING TIME VARIATION OF THE CHANNEL
20220123963 · 2022-04-21 ·

According to one general aspect, a method may include estimating a combined channel. The method may include estimating a channel correlation based, at least in part upon a measurement of a combined channel for a current beam sweeping interval and a previous beam sweeping interval. The method may include recovering a current channel by employing a compressive sensing-based channel recovery employing estimated channel correlation, a previous measurement, and a current measurement.

Methods for determining variability of a state of a medium
11764488 · 2023-09-19 · ·

Methods for determining variability in a state of a medium, include monitoring the medium and determining the variability in the state of the medium based on the processing of the response over time based on the response detected at the at least one receive element over time. Monitoring the medium can include generating a transmit signal, transmitting it into the medium using a transmit element, and receiving a signal from the medium at a receive element. The transmit and receive elements can be decoupled from one another. The transmit and receive elements can have differing geometry. The determined variability in the state of the medium can be used to provide notifications and/or take automated actions.

TOMLINSON-HARASHIMA PRECODING IN AN OTFS COMMUNICATION SYSTEM
20210367645 · 2021-11-25 ·

A method for signal transmission using precoded symbol information involves estimating a two-dimensional model of a communication channel in a delay-Doppler domain. A perturbation vector is determined in a delay-time domain wherein the delay-time domain is related to the delay-Doppler domain by an FFT operation. User symbols are modified based upon the perturbation vector so as to produce perturbed user symbols. A set of Tomlinson-Flarashima precoders corresponding to a set of fixed times in the delay-time domain may then be determined using a delay-time model of the communication channel. Precoded user symbols are generated by applying the Tomlinson-Flarashima precoders to the perturbed user symbols. A modulated signal is then generated based upon the precoded user symbols and provided for transmission over the communication channel.

Time reversal for positioning

In an aspect, a UE estimates channel state(s) of channels(s) between the UE and network node(s) based on DL RS(s) for positioning that are scheduled and transmitted on DL resources from network node(s). The UE may apply TR filter(s) derived based on the estimated channel state(s) to a UL-RS for positioning. The UE may transmit the TR filtered UL-RS on UL resources which are associated with the DL resources of the DL-RS(s) and which are scheduled by the network node(s). The association between the UL resources and the DL resources may be indicated to the UE by the network node(s).

Systems and methods for nonlinear distortion discovery in active carriers

A digital transmission system includes a transmitter configured to transmit an orthogonal frequency division multiplexing (OFDM) signal along a signal path, a receiver for receiving the OFDM signal from the transmitter and extracting OFDM symbols from the received OFDM signal, and a diagnostic unit configured to (i) demodulate the received OFDM signal to create an ideal signal, (ii) compare the received OFDM signal with the ideal signal to calculate an error signal, (iii) cross-correlate the error signal with the ideal signal, and (iv) determine a level nonlinear distortion from one of the transmitter and the signal path based on the correlation of the error signal with the ideal signal.

Facilitating sparsity adaptive feedback in the delay doppler domain in advanced networks

Facilitating sparsity adaptive feedback in the delay doppler domain in advanced networks (e.g., 4G, 5G, 6G, and beyond) is provided herein. Operations of a method can comprise determining, by a first device comprising a processor, a channel covariance matrix in a time-frequency domain based on a channel estimation associated with reference signals received from a second device. The method also can comprise decomposing, by the first device, the channel covariance matrix into a group of component matrices. Further, the method can comprise transforming, by the first device, respective matrices of the group of component matrices into respective covariance matrices in a delay doppler domain. The method also can comprise determining, by the first device, channel state information feedback in the delay doppler domain.

UPLINK DOPPLER METRIC ESTIMATION BASED ON A DOWNLINK REFERENCE SIGNAL

Methods, systems, and devices for wireless communications are described. A base station may transmit repetitions of a tracking reference signal to a user equipment (UE). The UE may determine a Doppler frequency for the downlink channel by measuring the repetitions of the tracking reference signal. The UE may transmit an indication of the downlink Doppler frequency to the base station. The base station may determine the uplink Doppler frequency based on the downlink Doppler frequency. The base station may use the uplink Doppler frequency to select an uplink demodulation reference signal (DMRS) configuration for the UE.