Method and apparatus are provided for estimating first downlink (DL) channel information of first DL channels in accordance with reference signals received on first uplink (UL) channels, the first UL channels being a subset of available UL channels, and the first DL channels corresponding to the first UL channels. Channel feedback is received for a set of DL channels, and second DL channel information is estimated in accordance with the estimated first DL channel information and the received channel feedback.

The present specification relates to a reception apparatus and method for demodulating a signal in a wireless AV system. The reception apparatus estimates a transmission signal on the basis of an MMSE weight matrix. The reception apparatus divides the estimated transmission signal for respective reception antennas and performs an IFFT. The reception apparatus estimates and compensates for phase noise for the respective reception antennas on the basis of the signal for which the IFFT has been performed. The reception apparatus demodulates the estimated and compensated signal for respective streams.

A method for estimating a channel status by a base station in a wireless communication system according to an embodiment of the present invention comprises the steps of: obtaining an uplink channel matrix by using a sounding reference signal (SRS) received from a terminal; transmitting a channel state information-reference signal (CSI-RS) through at least some antenna devices in a two-dimensional antenna array of the base station; receiving a channel quality indicator (CQI) calculated on the basis of the CSI-RS transmission; and obtaining, through a predetermined correction factor obtained on the basis of the CQI and the uplink channel matrix, a downlink channel matrix for the entire two-dimensional antenna array comprising the remaining antenna devices through which the CSI-RS is not transmitted.

A data processing apparatus and method, a base station, and a storage medium are provided. The apparatus includes: a processor, configured to determine a computation parallelism degree according to the number of antennas and pilot frequency information, acquire antenna data and channel estimation matrices of respective users, and store the antenna data and the channel estimation matrices in groups in a memory, and determine, according to the computation parallelism degree, target antenna data processed in parallel by an arithmetic unit in a single computation, wherein the target antenna data is part of the antenna data of the respective users; the memory, configured to store the antenna data and the channel estimation matrices in groups, and output the target antenna data and the channel estimation matrices to the arithmetic unit; and the arithmetic unit, configured to compute user data based on the target antenna data and the channel estimation matrices.

A processor-implemented method for estimating a channel by a deep generative model includes receiving, at a device, an observation of the channel and mapping, at the device, the observation to a mean value associated with the channel and a covariance matrix associated with the channel. The processor-implemented method also includes reconstructing, at the device, the channel based on the mean value and the covariance matrix.

A distributed base station system comprises a remote radio unit, RRU, and a base band unit, BBU, connected to the RRU over a fronthaul link, the RRU being connected to N antennas. The method comprising by the RRU: obtaining uplink signals as received at the N antennas from a number of User Equipment, UEs, wirelessly connected to the RRU; obtaining a channel estimation matrix of the wireless communication channels; determining an interference covariance estimation matrix based on the obtained channel estimation matrix and on other channel information different from the channel estimation matrix; sending information on the channel estimation matrix and on the interference covariance estimation matrix to the BBU; determining intermediate signals based on the uplink signals, the channel estimation matrix and the interference covariance estimation matrix, and sending the intermediate signals to the BBU.

Some demonstrative embodiments include apparatuses, devices, systems and methods of communicating an Enhanced Directional Multi-Gigabit (DMG) (EDMG) Physical Layer Protocol Data Unit (PPDU). For example, an EDMG wireless communication station (STA) may be configured to communicate an EDMG PPDU including a Channel Estimation Field (CEF) and/or a pilot sequence, which may be configured for an OFDM mode.

This application provides a wireless communication method and apparatus. The communication method includes: A sending device obtains a first matrix, where the first matrix is generated based on channel estimation of a communication channel between the sending device and a signal receiving device; the sending device generates an interference signal based on interference information and a second matrix, where the second matrix is an orthogonal matrix of the first matrix; and the sending device superimposes the interference signal and a to-be-sent signal, and sends a superimposed signal to the receiving device.

Disclosed are a method and system for acquiring massive MIMO beam domain statistical channel information. A refined beam domain channel model involved in the disclosed method is based on a refined sampling steering vector matrix. Compared with a traditional DFT matrix-based beam domain channel model, when antenna size is limited, said model is closer to a physical channel model, and provides a model basis for solving the problem of the universality of massive MIMO for various typical mobile scenarios under a constraint on antenna size. The present invention provides a method for acquiring massive MIMO refined beam domain a priori statistical channel information and a posteriori statistical channel information, the a posteriori statistical channel information comprising mean and variance information of the a posteriori channel. The method of the present invention has low complexity, can be applied to an actual massive MIMO system, provides support for a robust precoding transmission method, and has large application value.

The present disclosure provides a channel measurement method and apparatus, an electronic device and a computer-readable storage medium. The method includes: separately determining, by each first device, a first mask sequence, and transforming the first mask sequence to obtain a second mask sequence, and processing a first measurement sequence with the second mask sequence to obtain a second measurement sequence, where the first mask sequence corresponds to the first device; and carrying, by the first device, the second measurement sequence in a channel measurement frame, and sending the channel measurement frame to at least one second device for channel measurement.