The present application relates to communication technology. Disclosed are a channel reciprocity-based precoding matrix configuration method and apparatus. The method comprises: in downlink transmission, a network side separately sends, on each antenna port associated with each transmission layer, a CSI-RS subjected to beamforming to a terminal by using beams calculated according to angle information and delay information determined on the basis of uplink channel state information, and determines a precoding matrix for downlink transmission of the terminal according to beams sent on K0 antenna ports selected by the terminal on the basis of the CSI-RS, and a beam combination coefficient set. In this way, both angle information reciprocity and delay information reciprocity between uplink and downlink channels can be used to directly calculate formed beams for transmitting the CSI-RS, without performing SVD calculation for effective channel information of each PMI subband, thereby reducing the calculation complexity of the terminal, reducing the feedback overhead of the terminal, and also improving system performance.

A terminal according to an aspect of the present disclosure includes: a transmission section that transmits mode 2 capability information indicating that mode 2 of full power transmission is supported; and a control section that, in a case where the mode 2 capability information is transmitted and transmitted precoding matrix indicator (TPMI) group capability information regarding a TPMI group is not transmitted, assumes that a number of SRS ports=1 is configured for at least one SRS resource included in a measurement reference signal (sounding reference signal (SRS)) resource set of which usage is a codebook. According to one aspect of the present disclosure, it is possible to control full power transmission appropriately.

A terminal according to an aspect of the present disclosure includes: a transmission section that transmits mode 2 capability information indicating that mode 2 of full power transmission is supported; and a control section that, in a case where the mode 2 capability information is transmitted and transmitted precoding matrix indicator (TPMI) group capability information regarding a TPMI group is not transmitted, assumes that a number of SRS ports=1 is configured for at least one SRS resource included in a measurement reference signal (sounding reference signal (SRS)) resource set of which usage is a codebook. According to one aspect of the present disclosure, it is possible to control full power transmission appropriately.

The present disclosure provides a method (100) in a network device for channel estimation. The method (100) includes: transmitting (110) to a terminal device an instruction to precode each of a number, L, of DeModulation Reference Signals, DMRSs, using a number, N, of linearly independent precoders, respectively; receiving (120) from the terminal device L*N precoded DMRSs; estimating (130) an equivalent channel associated with an uplink channel from the terminal device to the network device based on one or more of the L*N precoded DMRSs; and determining (140) the uplink channel from the equivalent channel based on the N precoders.

The present disclosure provides a method (100) in a network device for channel estimation. The method (100) includes: transmitting (110) to a terminal device an instruction to precode each of a number, L, of DeModulation Reference Signals, DMRSs, using a number, N, of linearly independent precoders, respectively; receiving (120) from the terminal device L*N precoded DMRSs; estimating (130) an equivalent channel associated with an uplink channel from the terminal device to the network device based on one or more of the L*N precoded DMRSs; and determining (140) the uplink channel from the equivalent channel based on the N precoders.

Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

In a multiuser (MU) multiple antenna system (MAS), a central processing unit is communicatively coupled to multiple distributed wireless terminals (WTs) via a network. The central processing unit processes channel measurements indicative of channel conditions between the multiple distributed WTs and a plurality of user devices and selects a plurality of WTs from the multiple distributed WTs to enhance channel space diversity within the MU-MAS. The central processing unit calculates (Multiple Input, Multiple Output) MIMO weights from the channel measurements for precoding a plurality of data streams that are transmitted concurrently from the plurality of WTs to the plurality of users, wherein the MIMO weights provide for a plurality of independent MIMO channels.

Disclosed are a codebook processing method, a terminal device, and a network device, the method comprising: determining weighting coefficients for codebook calculation based on a first number and a second number, wherein a value of L representing the first number is half of a number of spatial beams, a value of M representing the second number is a number of discrete fourier transform (DFT) basis vectors, L and M are both integers, and the weighting coefficients comprise amplitude coefficients; performing processing on the weighting coefficients; and transmitting the processed weighting coefficients to a network device through channel state information (CSI).

Disclosed are a codebook processing method, a terminal device, and a network device, the method comprising: determining weighting coefficients for codebook calculation based on a first number and a second number, wherein a value of L representing the first number is half of a number of spatial beams, a value of M representing the second number is a number of discrete fourier transform (DFT) basis vectors, L and M are both integers, and the weighting coefficients comprise amplitude coefficients; performing processing on the weighting coefficients; and transmitting the processed weighting coefficients to a network device through channel state information (CSI).

Certain aspects of the present disclosure provide techniques for feedback compression. Certain aspects provide a method for wireless communication by a user-equipment (UE). The method generally includes receiving, from a base station, a configuration to be used for compressing one or more measurements corresponding to at least one reference signal using an artificial intelligence (AI) encoder; receiving the at least one reference signal; and transmitting a codeword to the base station, the codeword being associated with a compression of the one or more measurements in accordance with the configuration.