This disclosure provides methods, components, devices and systems for radio frequency sensing control for an ultra-wideband system. Some aspects more specifically relate to setting up one or more sensing instances (sensing rounds) for one or more respective sensing operations. In some implementations, a first wireless device (for example a controller, an initiator) may transmit a sensing session setup request frame that indicates a set of parameters for the one or more sensing instances. For each of the sensing instances, the first wireless device may transmit a sensing control information element that includes at least a common sensing control configuration and a channel impulse response report configuration. The first wireless device may participate in the sensing operations with at least a second wireless device (for example one or more responders or controlees) during the respective sensing instances.

Disclosed are techniques for communication. In an aspect, a radio access network (RAN) node transmits, to a network entity, a set of machine learning positioning capabilities supported by the RAN node, wherein the set of machine learning positioning capabilities includes a list of identifiers of a set of machine learning positioning functionalities supported by the RAN node, wherein the set of machine learning positioning functionalities is associated with a set of machine learning models that support the set of machine learning positioning functionalities, and wherein each machine learning positioning functionality of the set of machine learning positioning functionalities is associated with one or more machine learning models of the set of machine learning models, and transmits, to the network entity, one or more measurements of one or more sounding reference signal (SRS) resources transmitted by a user equipment (UE).

Aspects presented herein may improve the efficiency and performance of artificial intelligence (AI)/machine learning (ML) (AI/ML) positioning by enabling a user equipment (UE) to compress downlink (DL) reference signal measurements to reduce reporting overhead for the DL reference signal measurements. In one aspect, a UE performs at least one channel impulse response (CIR) measurement or at least one channel frequency response (CFR) measurement for a set of positioning reference signals (PRSs). The UE compresses the at least one CIR measurement or the at least one CFR measurement for the set of PRSs. The UE reports, for a network entity, one or more of the at least one compressed CIR measurement or the at least one compressed CFR measurement for the set of PRSs.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to data augmentation of radio frequency (RF) data for improved RF fingerprinting are provided. Among the methods is method that may include any of obtaining one or more samples by sampling a radio frequency (RF) signal received at a receiver from a transmitter; determining one or more channel characteristics of a channel between the receiver and the transmitter; and performing RF fingerprinting based at least in part on (i) inputting the samples and the channel characteristics as inputs to a neural network formed using a trained neural network model, and (ii) obtaining a predicted value output from the neural network.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive, from a second network node, codebook information that indicates a plurality of beams associated with an oversampled transmitter network node beamforming codebook. The first network node may transmit a beam selection report that indicates at least one suggested transmission beam associated with the oversampled transmitter network node beamforming codebook, wherein the beam selection report is based at least in part on a channel estimate that is obtained without obtaining beam measurements associated with beams that are associated with the oversampled transmitter network node beamforming codebook. Numerous other aspects are described.

A communication frame for an OTFS transmission system includes first-type and second-type blocks. The first-type block includes pilot signals, guard signals, and data signals, the second-type block exclusively includes data signals. The pilot symbols, guard signals, and data symbols of the first-type block, and the data symbols of the second-type block, are arranged along the points of a grid in the delay-Doppler domain. In the communication frame, a first-type block is followed by a second-type block, and a second-type block is followed by a first-type block. In the first-type block at least one pilot symbol is surrounded on at least three sides by one or more guard symbols. Points of the grid of the first-type blocks in the delay-Doppler domain that are not occupied by pilot symbols or guard symbols are used for data symbols. The communication frame permits determining oscillator frequency offset and channel coefficients in a receiver.

A system can input a group of correlation vectors to a trained machine learning model, wherein a number of correlation vectors of the group of correlation vectors corresponds to a number of antennas of a group of antennas, and wherein respective correlation vectors of the group of correlation vectors comprise respective least squares channel estimations that are processed by respective inverse fast Fourier transforms and that correspond to respective antennas of the group of antennas. The system can, as a result of the inputting, obtain an output of the trained machine learning model, wherein the output identifies a window size, a window position, and a window shape. The system can conduct broadband cellular communications with at least one user equipment based on the window size, the window position, and the window shape.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive downlink communications with a receive beam that is formed using a set of antenna elements. The UE may measure, in parallel with the receiving the downlink communications, a channel impulse response (CIR) for each antenna element of the set of antenna elements in a round-robin fashion. The UE may generate a second receive beam or a transmit beam based at least in part on the CIRs for the set of antenna elements. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a responding device may receive a signal from an initiating device. The responding device may estimate, from the signal, a channel impulse response (CIR) that represents signal reflections from one or more objects as multiple taps. The responding device may select one or more taps, from the multiple taps, that are within a first time window that starts at a first offset from a reference point and that has a first specified time duration. The responding device may transmit, to the initiating device, a CIR report that indicates the one or more taps. Numerous other aspects are described.

A communication method includes: receiving first indication information, and sending first channel impulse response (CIR) information based on the first indication information. The first indication information indicates one or more CIR groups that need to be fed back in a CIR window, and each CIR group that needs to be fed back includes an (I).sup.th CIR tap and a (II).sup.th CIR tap that are in the CIR window, and all CIR taps between the (I).sup.th CIR tap and the (II).sup.th CIR tap. The first CIR information is the one or more CIR groups that are indicated by the first indication information and that need to be fed back.