Abstract: Methods, systems, and devices for wireless communication are described. Generally, the described techniques provide for sending, from an upper layer at a transmitting device to a lower layer at the transmitting device, an indication by which the lower layer determines that a packet is to be transmitted as either an initial transmission or as a retransmission. The lower layer at the transmitting device may then determine a transmission process for transmitting the packet based on the indication, and the transmitting device may transmit the packet in accordance with the transmission process. Because the lower layer may identify whether the packet is to be transmitted as either the initial transmission or the retransmission, the lower layer may adapt the transmission process to improve the chances that the packet is received by a receiving device or to limit overhead.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a network node configures a quality of service (QoS) profile comprising one or more file-level QoS parameters, wherein the QoS profile applies to one or more files associated with a service flow associated with a user equipment (UE), wherein each file of the one or more files comprises one or more protocol data units (PDUs), and wherein a header of each PDU of the one or more PDUs of the file includes a file identifier and a file type of the file, and enforces the QoS profile on the one or more files.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may transmit assistance information indicating a type of in-device coexistence (IDC) interference at the UE, and indicating a set of associated interference parameters that correspond to an interference pattern of the IDC interference in a time domain, a frequency domain, or both. The set of interference parameters and the interference pattern may describe a pattern of the IDC interference in the time domain, the frequency domain, or both. The UE may receive a message indicating one or more operating parameters associated with a time period that is based on the interference pattern. The operating parameters may be based on the type of IDC, the set of interference parameters, and the interference pattern, and may enable the UE to communicate with a network entity to maintain signaling throughput while decreasing effects of the IDC interference.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of time alignment timer (TAT) relaxation criteria for one or more time alignment timers at the UE. The UE may transmit a request or a status report for TAT relaxation based on satisfying the time alignment timer relaxation criteria. The UE may receive an indication of TAT relaxation parameters in response to the request or status report. The UE may apply the TAT relaxation parameters to perform fewer measurements and transmit fewer measurement reports for uplink transmission. In some cases, reduced physical downlink control channel (PDCCH) monitoring occasions and extended discontinuous reception (DRX) can be jointly configured with the relaxation of TATs for the UE.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by a user equipment (UE), generally including obtaining a set of key performance indicators (KPIs) for a machine learning (ML) model running on the UE and transmitting, to an entity associated with the ML model, a report including an aggregation of the KPIs and additional performance feedback for the ML model.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may generate a report for one or more two-step random access channel (RACH) procedures between the UE and a base station (BS), wherein the RACH report includes at least one of an indication of a quantity of message A (MsgA) payloads transmitted during the one or more two-step RACH procedures on each beam of one or more beams associated with the BS, an indication of one or more parameters associated with each MsgA communication transmitted during the one or more two-step RACH procedures, or an indication of whether a respective signal strength for each beam, associated with the one or more two-step RACH procedures, satisfies a signal strength threshold. The UE may transmit the report to the BS. Numerous other aspects are provided.

Abstract: Aspects present herein relate to methods and devices for wireless communication including an apparatus, e.g., a UE. The apparatus may transmit, to at least one of a network node or a network entity, an indication of one or more future network slices, an indication of one or more current network slices, and/or an indication of one or more past network slices, the future network slices corresponding to network slices for potential future use by the UE, the current network slices corresponding to network slices that are currently used by the UE, the past network slices corresponding to network slices that were previously used by the UE. The apparatus may also receive, from the network entity, a response to the indication of the one or more future network slices, the indication of the one or more current network slices, and/or the indication of the one or more past network slices.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station may select, from a plurality of slot formats for supporting time division duplexing, a slot format for use during time division duplexing; transmit an information element that includes a half-slot slot-type to identify the slot format for use during time division duplexing; and communicate with a user equipment (UE) in a time division duplexing mode in accordance with the slot format. Numerous other aspects are provided.

Abstract: A network node obtains, from a core network component, a quality of experience (QoE) configuration associated with a high speed dedicated network (HSDN) indication and outputs the QoE configuration for a user equipment (UE) based on the UE being camped on an HSDN cell or based on a mobility condition of the UE. A UE receives, from a network node, a QoE configuration associated with an HSDN indication and collects QoE information based on at least one of an HSDN status of a cell or a mobility condition of the UE.

Abstract: A user equipment (UE) performs combined radio-based positioning techniques and video-based channel state information (vCSI) based positioning techniques. An example method performed by a first UE includes receiving a first request for visual positioning of the first UE, the visual positioning based at least in part on visual signals captured by a visual sensor of the first UE and on one or more radio positioning signals, capturing visual data based on the relative direction, determining video-based channel state information (vCSI) based on the captured visual data, and transmitting the vCSI to a network entity associated with the first UE.

Abstract: Certain aspects of the present disclosure generally relate to methods and apparatus for performing minimization of drive test (MDT) operations. For example, certain aspects provide a method for wireless communication. The method generally includes receiving, at a radio access network (RAN), a measurement configuration to start a trace of a user-equipment (UE), determining a transition of the UE to an inactive state, and sending one or more messages to coordinate the trace of the UE or indicate that the trace has failed in response to the determination.

Abstract: In a wireless communication system, a user equipment (UE) vendor and a network entity vendor may configure one or more UEs and network entities to perform data collection, and to train for channel status information (CSI) feedback (CSF) models.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration for a reference signal used for data collection and/or a first message that indicates that data collection based on the reference signal is allowed. The UE may receive the reference signal. The UE may collect data based at least in part on the reference signal. The UE may transmit the data that is collected. Numerous other aspects are described.

Abstract: In a wireless communication system, a user equipment (UE) vendor and a network entity vendor may configure one or more UEs and network entities to perform data collection, and to train for channel status information (CSI) feedback (CSF) models.

Abstract: Certain aspects of the present disclosure provide method of wireless communications by a user equipment (UE), generally including obtaining, from a network entity, a performance report for a machine learning (ML) model running on at least one of the UE or a network entity and participating in a change to the ML model based on the performance report.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from at least one of a master node (MN) or a secondary node (SN), one or more radio access network visible quality of experience (RVQoE) configurations, wherein the UE is operating in a dual connectivity mode with the MN and the SN. The CE may transmit, to at least one of the MN or the SN, at least one RVQoE measurement report based at least in part on the one or more RVQoE configurations. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described. A UE may be configured with a machine learning model by a core network to perform analytics, training, or inferences. The UE may exchange capability information with a core network related to machine learning models. For example, the UE may indicate a list of machine learning models supported at the UE to a core network entity, and the UE may receive an indication of a list of machine learning models supported at the core network entity. The UE or the core network may initiate the configuration. For example, the UE may request to be configured with a machine learning model. The core network may send control signaling indicating a configuration for the machine learning model to the UE. The UE may perform analytics based on the machine learning model.

Abstract: Aspects described herein relate to transmitting, to a network node, a list of supported models and receiving, from the network node, an indication of one or more models from the list of supported models that are supported by the network node.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may transmit assistance information indicating a type of in-device coexistence (IDC) interference at the UE, and indicating a set of associated interference parameters that correspond to an interference pattern of the IDC interference in a time domain, a frequency domain, or both. The set of interference parameters and the interference pattern may describe a pattern of the IDC interference in the time domain, the frequency domain, or both. The UE may receive a message indicating one or more operating parameters associated with a time period that is based on the interference pattern. The operating parameters may be based on the type of IDC, the set of interference parameters, and the interference pattern, and may enable the UE to communicate with a network entity to maintain signaling throughput while decreasing effects of the IDC interference.