A method includes generating, via a first processor of a first compute device, symbols based on an incoming data and decomposing a unitary matrix of size NN by: 1) applying a permutation to each symbol using a permutation matrix, to produce permuted symbols, and 2) transforming each symbol using at least one primitive transformation matrix of size MM, M being smaller than or equal to N, to produce transformed symbols. The method also includes sending a signal representing the transformed symbols to a plurality of transmitters for transmission of a signal representing the transformed symbols to a plurality of receivers. A signal representing the unitary matrix is sent to a second compute device for transmission of the unitary matrix to the receivers for recovery of the plurality of symbols at the plurality of receivers.

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.

Apparatus, methods, and computer-readable media for facilitating L1 UE-side filtering for mmW frequencies are disclosed herein. An example method for wireless communication at a user equipment includes configuring a filter coefficient for a serving beam. The example method also includes applying the filter coefficient to the serving beam to determine an updated filtered measurement result. The example method also includes reporting the updated filtered measurement result to a base station.

Embodiments are presented herein of apparatuses, systems, and methods for a wireless device to perform improved channel estimates for sensing applications such as ranging. The wireless device may determine noise characteristics, e.g., a spectrum of the variance of noise on a channel and may use the noise characteristics to estimate a response of an analog front end of the wireless device. The wireless device may correct a channel estimate based on the estimated response of the analog front end.

A wireless communication system includes: base stations that are a plurality of transmission devices that transmits signals including different known sequences using a same frequency; and a mobile station that is a reception device that performs channel estimation using a reception signal received from at least one of the plurality of transmission devices, an average time parameter, and at least one of a plurality of the known sequences corresponding to the plurality of transmission devices, and removes an interference signal included in the reception signal using a result of the channel estimation, the average time parameter being a parameter related to channel estimation accuracy and determined based on a moving speed of a moving one of the reception device that receives the reception signal and the transmission devices that transmits the reception signal.

An apparatus and method are provided for Doppler estimation of a signal received over a time-varying transmission medium, the method including receiving the signal over a channel of the time-varying transmission medium; sampling a magnitude of the received signal repeatedly over time; identifying unidirectional threshold crossings of the sampled magnitude about a threshold magnitude relative to a mean magnitude; measuring differences between the sampled magnitude and the threshold magnitude for the identified crossings; analyzing the measured differences over time; estimating the time-varying nature of the channel based on the analyzed differences; and transmitting a signal indicative of the estimated time-varying nature.

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.

The described technology is generally directed towards adaptively changing which transmission scheme a user equipment is to use based on a Doppler metric (e.g. Doppler frequency) as evaluated against a threshold Doppler value. A network instructs a user equipment to use a Rank-1 precoder cycling transmission scheme if the Doppler metric of user equipment is above a threshold value, or to use a closed loop MIMO transmission scheme if the user equipment has a Doppler metric below the threshold value. The network can instruct the user equipment via a suitable message, or by switching off TPMI and notifying the user equipment thereof.

Transmission quality is improved in an environment in which direct waves dominate in a transmission method for transmitting a plurality of modulated signals from a plurality of antennas at the same time. All data symbols used in data transmission of a modulated signal are precoded by hopping between precoding matrices so that the precoding matrix used to precode each data symbol and the precoding matrices used to precode data symbols that are adjacent to the data symbol in the frequency domain and the time domain all differ. A modulated signal with such data symbols arranged therein is transmitted.

A method includes generating, via a first processor of a first compute device, symbols based on an incoming data and decomposing a unitary matrix of size NN by: 1) applying a permutation to each symbol using a permutation matrix, to produce permuted symbols, and 2) transforming each symbol using at least one primitive transformation matrix of size MM, M being smaller than or equal to N, to produce transformed symbols. The method also includes sending a signal representing the transformed symbols to a plurality of transmitters for transmission of a signal representing the transformed symbols to a plurality of receivers. A signal representing the unitary matrix is sent to a second compute device for transmission of the unitary matrix to the receivers for recovery of the plurality of symbols at the plurality of receivers.