Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may determine, based at least in part on two or more measurements on a channel taken at different points in time, that the channel is classified as static. The wireless communication device may perform at least one optimization based at least in part on determining that the channel is classified as static. For example, the at least one optimization may include modifying a channel state feedback procedure, reducing a periodicity associated with a measurement gap, modifying a filtering associated with measurements of the channel, reducing a threshold associated with beam switching, and/or refraining from performing at least one filtering at a radio frequency receiver of the wireless communication device. Numerous other aspects are described.

This application discloses a communication method and a communications apparatus. The method includes: determining, by a first device, a phase tracking reference signal PTRS pattern, where the PTRS pattern includes one or more PTRS chunks, and each PTRS chunk includes one or more PTRS samples; and mapping, by the first device, a PTRS to one or more symbols, and sending the one or more symbols to a second device.

A radio receiver includes a channel estimator processing circuit including: a feature extractor configured to extract one or more features from a received signal, the features including a channel correlation estimated based on a reference signal in a current slot, the estimated channel correlation indicating a rate of change of a wireless channel over time; and a Doppler spread estimator configured to estimate a Doppler spread of the wireless channel by supplying the features to one or more Doppler shift predictors trained on training data across a training signal-to-noise ratio (SNR) range and across a training Doppler shift range, each Doppler shift predictor being trained on a portion of the training data corresponding to a different portion of the training data.

A method performed by a communication device includes generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device. The method also includes inferring, with a neural network, a residual of the initial channel estimate of the current time step. The method further includes updating the initial channel estimate of the current time step based on the residual.

To provide demapping at a receiving side, a trained model for a demapper is used to output log-likelihood ratios of received signals representing data in a multi-user transmission. Inputs for the trained model for the demapper comprise a resource grid of equalized received signals.

There is disclosed a method of operating a radio node in a wireless communication network. The method includes obtaining delay characteristic information for a set of wireless devices, the delay characteristic information for each of the set of wireless devices pertaining to one or more signaling beams of a set of signaling beams, and communicating with subgroups of wireless devices of the set of wireless devices using signaling beams selected from the set of signaling beams based on the delay characteristic information. For each subgroup, a different selected signaling beam is used for communicating. The disclosure also pertains to related devices and methods.

Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

A method for channel prediction for uplink (UL) and downlink (DL) massive Multiple Input Multiple Output (MIMO) systems for Open Radio Access Network (0-RAN) fronthaul Split 7.2 networks enables prediction of a channel that is seen by the UL slot. The pre-processing matrix is computed by the distributed unit (DU) based on this predicted channel and sent to the radio unit (RU) for minimizing the effects of channel aging. A channel corresponding to sounding reference signal (SRS) symbol closest to uplink slot being decoded can be predicted from previous SRS symbols and can be used as a combining matrix. Alternatively, the channel of the uplink slot itself can be predicted from past SRS symbols, and a combining matrix can be generated based on the predicted channel.

A device and a method for cell coverage enhancement by an electronic device in a wireless communication system are provided. The electronic device includes a communication circuit and a processor, wherein the processor identifies a channel variation of an external device configured to perform communication via the communication circuit, configures a frequency hopping interval corresponding to the external device, based on the channel variation of the external device, transmits information related to the frequency hopping interval to the external device, and transmits, based on the frequency hopping interval, at least one reference signal assigned to at least one slot corresponding to at least one frequency band to the external device.

A method for user equipment for improving a transmission efficiency on a radio channel including obtaining a predictive environmental model and predicting a channel dynamic of the radio channel based on the predictive environmental model, receiving a reference signal to measure a channel characteristic of the radio channel and calculating the channel dynamic of the radio channel based on the reference signal, and determining a deviation between the predicted channel dynamic and the calculated channel dynamic and adjusting a transmission parameter based on the deviation to improve the transmission efficiency on the radio channel.