Abstract: The present disclosure provides systems, devices, apparatus and methods, including computer programs encoded on storage media, for downlink control information format for indication of transmission configuration indication state. A user equipment may receive, from a base station, downlink control information (DCI); determining whether the DCI is used for beam indication with or without downlink assignment. The UE also may apply transmission configuration indication (TCI) states based on TCI codepoints in a TCI field of the DCI, when the DCI is used for beam indication. The base station may generate the DCI with information indicating whether the DCI is intended for beam indication with or without downlink assignment, in which the DCI includes the TCI codepoints to apply the TCI states at the UE when the information in the DCI indicates that the DCI is intended for beam indication. The base station may transmit, to the UE, the DCI.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media for a user equipment (UE) to perform layer 1 (L1) measurements of a candidate cell for an L1/L2 mobility procedure. The UE receives, from a current serving cell, a configuration of a channel state information (CSI) reference signal (RS) measurement resource for L1 measurements of a candidate cell. The UE measures a signal transmitted from the candidate cell based on whether the candidate cell is an intra-frequency candidate cell or an inter-frequency candidate cell. The UE may transmit a CSI report including the L1 measurements of the candidate cells to the current serving cell.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify, based at least in part on configuration information received from a base station, whether the UE is in a single-transmit receive point (TRP) mode or a multiple-TRP mode. The UE may receive a beam indication that is one of a non-unified beam indication or a unified transmission configuration indicator (TCI) state indication, wherein a type of the beam indication is based at least in part on one or more beam indication rules for the single-TRP mode and the multiple-TRP mode. The UE may communicate with one or more TRPs using one or more beam directions associated with the beam indication. Numerous other aspects are described.

Abstract: Aspects relate to measuring and scheduling reference signals. A user equipment (UE) detects reference signals having overlapping resources, and determines a context associated with the reference signals. A Layer 1 (L1) measurement is then performed of at least one reference signal according to a prioritization associated with the context. In another aspect, a network entity determines a scheduling of resources that enables a UE to prioritize performing an L1 measurement of a reference signal from a non-serving cell, and communicates with the UE according to the scheduling. In yet another aspect, a UE communicates with a gNb using transmission configuration indication (TCI) states associated with a corresponding control resource set (CORESET) pool of CORESETs. Beam failure detection (BFD) reference signals are then identified explicitly via a configuration signaling, or implicitly based on the TCI states. The BFD reference signals are then monitored to facilitate detecting a beam failure event.

Abstract: This disclosure provides systems, methods and apparatus, including computer storage media for communication between a base station with two transmit receive point (TRPs) and a UE based on a single DCI. The UE receives a single downlink control information (DCI) for the UE that is configured with a first unified transmission configuration indication (TCI) state for a first TRP and second unified TCI state for a second TRP. The DCI includes at least a first TCI field. The UE updates a configuration of at least one of the first unified TCI state to a first updated unified TCI state or the second unified TCI state to a second updated unified TCI state based on the at least one TCI field. The UE communicates with at least one of the first TRP or the second TRP based on the first updated unified TCI state or the second updated unified TCI state.

Abstract: A method for wireless communication at a user equipment (UE) and related apparatus are provided. In the method, the UE receives a configuration of multiple application time values for transmission configuration indication (TCI) state updates. The UE further receives downlink control information (DCI) in a control resource set (CORESET) associated with a first CORESET pool index associated with a first transmission reception point (TRP) and including a transmission configuration indication (TCI) state associated with a second CORESET pool index associated with a second TRP. The UE further transmits acknowledgement/negative acknowledgement (ACK/NACK) feedback to one or more TRPs based on a feedback mode configured for the UE, and applies the TCI state indicated in the DCI following the ACK/NACK feedback based on one of the multiple application time values and the feedback mode.

Abstract: A method of wireless communication at a UE is disclosed herein. The method includes receiving a configuration to perform an inter-frequency measurement of at least one of a SSB or a CSI-RS of a candidate cell while connected to a serving cell. The method includes performing the inter-frequency measurement on the at least one of the SSB or the CSI-RS from the candidate cell based on the received configuration. The method includes outputting an indication of the performed inter-frequency measurement.

Abstract: Aspects described herein relate to receiving a first downlink control information (DCI) indicating a first transmission configuration indicator (TCI) state to be applied for a first component carrier (CC) at a first beam applying time (BAT), receiving a second DCI indicating a second TCI state to be applied for the first CC or a second CC at a second BAT, and where the first BAT and the second BAT are within a same time period, applying the first TCI state or the second TCI state for one or more of the first CC or the second CC within the time period based at least in part on a first property of the first DCI and a second property of the second DCI. Other aspects relate to transmitting the DCI. Other aspects relate to when the BATs are not within the same time period.

Abstract: The apparatus may be a UE configured to receive, from a network node, a switch indication for the UE to switch from being served by a first cell to being served by a second cell. The apparatus may further be configured to receive a transmission configuration indication (TCI) state indication that indicates a TCI state for the UE to use with the second cell, where a first time period between the switch indication and the TCI state indication is based on a relationship of the TCI state to one or more reference signals measured by the UE prior to receiving the switch indication. The apparatus may also be configured to communicate with the network node via the second cell and using the TCI state.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine, for a sounding reference signal (SRS) transmission, one or more uplink power control parameters based at least in part on whether the one or more uplink power control parameters are associated with a transmission configuration indicator (TCI) state that is associated with at least one of an uplink control channel or an uplink shared channel. The UE may transmit the SRS transmission based at least in part on the one or more uplink power control parameters. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications at a user equipment (UE) are described. A UE may identify one or more measurement parameters to use for input in a machine learning (ML) model. In some cases, the measurement parameters may include reference signal received power measurements or a past set of timing advance (TA) values for a specific node. The UE may predict the TA based on inputting the measurement parameters into the ML model. The UE may transmit an uplink communication from the UE to a network entity using the TA predicted from the ML model. In some examples, the UE may transmit a capability report to indicate that the UE may support autonomous update of the TA based on the predictions of the TA values produced from the ML model.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration for applying weighted averaging to layer 1 (L1) reference signal received power (RSRP) measurements. The UE may receive, from the network node, a plurality of reference signals during a period of time, the plurality of reference signals being quasi-co-located with each other. The UE may obtain weighted averaged L1 RSRP measurements associated with the plurality of reference signals based at least in part on the configuration, the weighted averaged L1 RSRP measurements being available as input to a machine learning (ML) model for beam prediction. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network node, an event trigger request based at least in part on an occurrence of a triggering event, the event trigger request activating a beam report configuration at the UE in lieu of a machine learning (ML) model for beam prediction at the UE. The UE may transmit, to the network node, a beam measurement report based at least in part on the beam report configuration. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may determine, during a multi-slot downlink transmission, that a mapping from a transmission configuration information (TCI) state index to a first TCJ state configuration has changed to a second TCJ state configuration. The UE may select, based at least in part on the determined change, the first TCJ state configuration or the second TCJ state configuration to use for at least a portion of the multi-slot downlink transmission. The UE may receive the multi-slot downlink transmission during one or more slots according to the selected TCJ state configuration and the TCJ state index.

Abstract: A method of wireless communication is performed by a user equipment (UE). The method receives, from a network, a configuration for a decision making module. The method also executes the decision making module to determine a selection parameter for a configuration of at least one machine learning module. The method selects the configuration of the at least one machine learning module based on the selection parameter. Further, the method reports, to the network, a decision resulting from executing the decision making module.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration of a beam prediction model that is trained to predict beam measurements for a set of beams. The UE may receive, from the network node, an indication of a subset of beams, from the set of beams, that are to be associated with a measurement report. The UE may transmit, to the network node, the measurement report indicating one or more predicted beam measurements that are based at least in part on an output of the beam prediction model, the output of the beam prediction model including beam predictions associated with the set of beams, and the one or more predicted beam measurements including information associated with the subset of beams. Numerous other aspects are provided.

Abstract: Systems, methods, and apparatuses for performing a beam recovery procedure using a second CC are disclosed. A UE may perform a beam recovery procedure using two component carriers (CCs): for example, first component carrier may be a beam formed millimeter wave (MMW) carrier having a beam recovery procedure and second component carrier may be an assisting carrier such as a sub-6 GHz carrier or a different MMW carrier. In a first example, a UE may trigger beam recovery for first component carrier (on second component carrier), generate a beam measurement report, and transmit the beam report on resources allocated for uplink transmission on second component carrier. In a second example, a new scheduling request (SR) may be defined on first component carrier for second component carrier beam recovery. In a third example, RACH resources or procedures on second component carrier may be used to perform the beam recovery for first component carrier.

Abstract: Methods, systems, and devices for wireless communications are described. Some systems may support the transmission of a predicted negative acknowledgment (NACK) indication for a downlink data message. In some cases, a base station may transmit a downlink data message to a user equipment (UE). The UE may perform a decoding process for the message. The UE may determine whether the decoding process is likely to fail during a first portion of the decoding process prior to completion of the decoding process. The UE may transmit a predicted NACK message to the base station prior to a feedback opportunity configured for the UE to transmit feedback based on a result of the completed decoding process. The base station may determine whether to retransmit the downlink data message based on the predicted NACK message, such that the predicted NACK message may reduce the latency associated with retransmission of downlink data messages.

Abstract: Methods, systems, and devices for wireless communication are described. A machine learning server may generate a low-dimensional parameter set representing training data for the machine learning server, the training data being associated with one or more communication environments or one or more channel environments, or a combination thereof. The machine learning server may receive, from one or more devices within a communication environment or within a channel environment, or both, a low-dimensional parameter set representing testing data associated with the communication environment or the channel environment, or both. The machine learning server may generate a reproducibility metric according to a correlation between the parameter set representing the training data and the parameter set representing the testing data.

Abstract: A method of wireless communication by a base station detects a UE is in a high speed train scenario. The method also instructs the UE to enter a high speed train (HST) mode when the UE is detected to be in the high speed train scenario. The method further performs beam management in accordance with the HST mode. A UE (user equipment) for wireless communication detects when the UE is in high speed train scenario. The UE also reports the high speed train scenario to a base station and then receives instructions from the base station to enter a high speed train (HST) mode. The UE performs beam management in accordance with the HST mode.