Aspects of the disclosure relate to a multi-antenna wireless user equipment (UE) calculating a covariance matrix corresponding to a covariance of signals received from each of its antennas. The UE further calculates the eigenvectors of the covariance matrix, and transmits feedback including information corresponding to the eigenvectors. Based on this information, a base station can determine to alter a number of beams for transmitting information to the UE, efficiently improving the reliability of transmission to the UE. Other aspects, embodiments, and features are also claimed and described.

A method of beam information feedback in a wireless communication system is disclosed including transmitting, from a base station (BS) to a user equipment (UE), reference signals using multiple beams, and transmitting, from the UE to the BS, first feedback information that indicates at least one of a first correlation level between a pair of beams within each of beam groups and a second correlation level between a pair of the beam groups. The multiple beams are grouped into the beam groups.

Disclosed are a method for transmitting and receiving channel state information (CSI) in a wireless communication system and a device therefor. Particularly, a method by which a terminal reports channel state information in a wireless communication system can comprise the steps of: receiving, from a base station, configuration information relating to the CSI report on a downlink channel; receiving, from the base station, at least one CSI-RS for the CSI report; outputting feedback information by means of the at least one CSI-RS; and reporting the CSI to the base station by using the outputted feedback information.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The present invention relates to a method and an apparatus for estimating an uplink channel of a base station in a wireless communication system, comprising the steps of: estimating a position of a wireless channel tap on the basis of a sounding reference signal (SRS) received from a terminal; determining an average power value of the wireless channel tap for each link between a transmitting antenna and a receiving antenna from and to which the SRS is transmitted; and estimating an effective channel frequency response (effective CFR) of a physical uplink shared channel (PUSCH) on the basis of the position of the wireless channel tap and the average power value of the wireless channel tap.

A communication device and methods for computing a noise covariance matrix by using unused resources as determined from a first information. The methods and devices are configured to demodulate and decode the first information; determine one or more resource elements during which data is not transmitted to the communication device based on the first information; obtain samples for the one or more determined resource elements; and compute a noise covariance matrix based on the obtained samples.

Noise and interference may be estimated at a user equipment (UE) in a system that may support transmissions having different transmission time intervals (TTIs). The UE may perform a channel estimation for a first set of transmissions having a first TTI based at least in part on an estimated interference from a second set of transmissions having a second TTI that is shorter than the first TTI. The UE may perform channel estimation for orthogonal frequency division multiplexing (OFDM) symbols of the first set of transmissions. The first set of transmissions may then be demodulated based at least in part on the channel estimation for the first set of transmissions. Noise and interference may also be estimated based on one or more null tones within one or more OFDM symbols of the allocated resources.

Embodiments provide a transceiver, configured to select, responsive to a reported position of a mobile terminal, one channel covariance matrix out of a plurality of channel covariance matrices for communication with the mobile terminal or a further mobile terminal, wherein each of the channel covariance matrices is associated with a different one of a plurality of locations of a cell served by the transceiver.

A wireless communication method includes receiving, by a first wireless device during a training phase, reference tones using a first number of resource elements from a transmitter of a second wireless device, wherein the first wireless device comprises multiple receiving antennas, estimating, by the first wireless device, from the receiving the reference tones, a second order statistics of wireless channels between the multiple receiving antennas and the transmitter of the second wireless device, and performing channel estimation, during an operational phase subsequent to the training phase, using the second order statistics and reference tones received on a second number of resource elements, wherein the second number is less than the first number.

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.

Among other things, embodiments of the present disclosure help to overcome environment-specific dependency issues of conventional Wi-Fi-based sensing systems, thus allowing a neural network to make better proximity predictions in an unseen environment. Other embodiments may be described and claimed.