Systems, methods, apparatuses, and computer program products for machine learning based channel state information (CSI) estimation and feedback configuration are provided. A method may include learning channel state information feedback from one or more user equipment as time series data. The method may also include building a predictive model for user equipment feedback based on the learned channel state information feedback. The method may further include configuring a channel state information trigger with the one or more user equipment based on the predictive model. In addition, the method may include signaling predicted channel state information to the one or more user equipment.

A stochastic channel state information transmission/reception method and apparatus is provided for use in a multiuser radio communication system. The signal method of transmitting and receiving signals in a terminal in a mobile communication system according to the present disclosure includes receiving a reference signal transmitted by a base station, estimating channel information based on the reference signal, predicting a channel estimation error based on the channel information, generating feedback information based on the channel estimation error, and transmitting feedback information to the base station.

According to certain embodiments, a method is performed by a radio node in order to configure a transmitter to communicate a signal. The method determines an Error Vector Measure (EVM) window for the signal. The EVM window is based on at least one of a signal bandwidth, a spectrum utilization, and a cyclic prefix length. The method adjusts the transmitter based on the EVM window.

Methods are disclosed for improving communications on feedback transmission channels, in which there is a possibility of bit errors. The basic solutions to counter those errors are: proper design of the CSI vector quantizer indexing (i.e., the bit representation of centroid indices) in order to minimize impact of index errors, use of error detection techniques to expurgate the erroneous indices and use of other methods to recover correct indices.

A beam indication method, a network device, and a terminal device are provided. The method includes: receiving a first command sent by the network device. The first command is used to indicate at least one Transmission Configuration Indication (TCI) state in a TCI state pool. The at least one TCI state comprises a joint TCI state or a separate TCI state. The TCI state pool is preconfigured by the network device. The at least one TCI state is used to indicate common beam information of a plurality of channels or Reference Signals (RSs). The method further includes determining, according to the first command, the at least one TCI state corresponding to an Uplink (UL) or a Downlink (DL).

According to certain embodiments, a method is performed by a radio node in order to configure a transmitter to communicate a signal. The method determines an Error Vector Measure (EVM) window for the signal. The EVM window is based on at least one of a signal bandwidth, a spectrum utilization, and a cyclic prefix length. The method adjusts the transmitter based on the EVM window.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine to report first channel state information (CSI), wherein the first CSI is associated with a parameter that indicates a priority of the first CSI. The UE may prioritize the first CSI over a second CSI based at least in part on the parameter. The UE may transmit an indication of the first CSI and may drop the second CSI based at least in part on prioritizing the first CSI over the second CSI. Numerous other aspects are provided.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The UE determines priority levels of a plurality of messages based on at least one predetermined rule. The plurality of messages contain channel state information to be reported to a base station. The at least one predetermined rule specifies that a message including an indicator indicating at least one of a beam selection at a particular dimension and an orthogonal beam group selection has a priority level higher than a priority level of a message including an indicator indicating at least one of a beam direction from a group of beam candidates or co-phasing between two sets of antennas for two polarizations. The UE sends, to the base station, one or more messages of the plurality of messages based on the priority levels of the plurality of messages.

A system and method for calibrating mismatch between the transmit and receive filters of communication nodes in MIMO communications systems. The exemplary calibration algorithm involves two nodes communicating back-and-forth and, based on the received signal, the receiving node calculating an updated calibration matrix and calculating parameters for communicating over the best singular mode (BSM). According to a salient aspect, the updated calibration matrix and the BSM parameters can be calculated as a function of a difference between previous estimates thereof and the current received signal. The calculated BSM parameters and calibration matrix can then be used to transmit a signal back to the other node, which similarly performs the calibration matrix and BSM parameter calculation steps. The calibration algorithm can be repeated by the nodes a suitable number of iterations for each nodes' respective calibration matrix to impose reciprocity on the effective communication channel therebetween.

A stochastic channel state information transmission/reception method and apparatus is provided for use in a multiuser radio communication system. The signal method of transmitting and receiving signals in a terminal in a mobile communication system according to the present disclosure includes receiving a reference signal transmitted by a base station, estimating channel information based on the reference signal, predicting a channel estimation error based on the channel information, generating feedback information based on the channel estimation error, and transmitting feedback information to the base station.