Aspects of the present disclosure relate to techniques that may enhance radio link failure (RLF) procedures. In some cases, a UE may perform radio link monitoring (RLM) based on reference signals (RS) transmitted using a first set of beams, perform beam failure recovery (BFR) monitoring based on transmissions using a second set of beams, and adjust one or more radio link failure (RLF) parameters based on both the RLM monitoring and the BFR monitoring.

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 user equipment (UE) is provided that includes an antenna switch array for demultiplexing a reference signal sequentially to each antenna in a plurality of antennas. While the antenna switch array selects an antenna, the UE measures a reflection coefficient for the antenna. The UE then tunes the antenna responsive to the reflection coefficient measurement.

There is disclosed a method of operating a wireless device in a wireless communication network, the method including transmitting feedback signaling including feedback information, the feedback information being encoded with an error coding scheme, wherein an error coding size of the error coding scheme is dependent on a type of the feedback information. The disclosure also pertains to related devices and methods.

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.

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.

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.

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 a plurality of messages containing channel state information to be reported to a base station. The UE also determines a priority level for each of the plurality of messages based on at least one predetermined rule. The UE further selects one or more messages from the plurality of messages based on priority levels of the plurality of messages. The UE then sends the selected one or more messages to the base station.

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.

Discussed herein are devices, systems, and methods for decentralized device management. A method can include receiving a first message from a second device, implementing a first machine learning (ML) model that operates on the received first message and an observation to determine a next objective to be completed by the first device, and training a simulator to produce the first message based on the observation.