Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client may determine, using a conditioning network and based at least in part on an observed environmental vector, a set of client-specific parameters. The client may determine a latent vector using a client autoencoder and based at least in part on the set of client-specific parameters and the set of shared parameters. The client may transmit the observed environmental vector and the latent vector to a server. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit a request for sets of neural network weights, each set corresponding to a neural network, to one or more network entities. The one or more network entities may transmit multiple sets of neural network weights to the UE in response to the request. The UE may run a classifier neural network on the sets of neural network weights to select a set of neural network weights corresponding to a neural network. The UE may transmit a neural network identifier to the one or more network entities that transmitted neural network weights.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE), served by a cell of a base station, may identify a time division duplexing (TDD) configuration for a first cell, wherein the TDD configuration includes a symbol pattern for a slot. The base station may determine an overlap between a downlink symbol or a flexible symbol and an uplink symbol during symbols of the slot based on a TDD configuration. A first UE may receive a configuration for transmitting a cross-link interference (CLI) sounding reference signal (SRS) to a second UE according to the configuration. The second UE may measure the CLI SRS and report the measurement.

Abstract: Techniques are provided for determining a position of a mobile device. An example method of reporting a probability distribution for positioning a mobile device includes obtaining positioning measurements, determining one or more probability distributions of one or more positioning metrics based on the positioning measurements, determining a parametric representation of the one or more probability distributions, and reporting the parametric representation.

Abstract: Sounding reference signals (SRS) transmitted by a UE, e.g., for positioning or channel estimation, may be configured for one or both of frequency tone level cyclic shift and symbol level code, which, for example, enables multiplexing a greater number of UEs. The frequency tone level cyclic shift is produced by jointly processing a number of symbols with an extended cyclic shift structure. The SRS may be configured using a symbol group level that indicates the number of symbols associated with a cyclic shift structure, and an outer code that indicates a multiplier applied to the SRS at the symbol level, which increases the multiplexing opportunities. The symbol level code may further indicate an extended cyclic shift indicating a linear increase in phase rotation across tones in symbols associated with the symbol group level.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may determine at least one of a downlink path loss value or an uplink path loss value associated with a base station; receive system information, a semi-persistently configured grant via RRC or a dynamic uplink grant via DCI from the base station, wherein the RRC signaling or the dynamic uplink grant identifies a power control value associated with one user or a plurality of users associated with the base station; and determine a transmit power for a data or control transmission based at least in part on at least one of the downlink path loss value or the uplink path loss value and the power control value. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described in which a wideband bandwidth part (BWP) may be used for periodic communications bursts, and a user equipment (UE) may switch to a narrowband BWP between the communications bursts, which may provide reduced power consumption and reduced processing overhead at the UE. An end of burst indicator may be provided with the wideband BWP communications that indicates a timing for switching from the wideband BWP to the narrowband BWP. The end of burst indicator may be provided prior to a last downlink shared channel communication of the communications burst, and the UE may switch to the narrowband BWP upon completion of the last downlink shared channel communication. The UE may switch from the narrowband BWP to the wideband BWP for a subsequent communications burst autonomously or based on an explicit indication.

Abstract: A user equipment (UE) receives, from a network entity, a message indicating a change in a set of downlink beams for channel state information reference signals (CSI-RSs), and a context associated with the change. The UE saves state values in an auto-encoder neural network in response to receiving the message and associates the saved state values in the auto-encoder neural network to the context in the received message. The UE also resets the state values in the auto-encoder neural network in response to receiving the message and estimates a channel state based on the CSI-RSs received on the changed set of downlink beams. The UE compresses the channel state with the auto-encoder neural network based on the reset state values and further sends to the network entity, the compressed channel state.

Abstract: A method of wireless communication includes receiving, by a network device from a server, first data associated with an application. The method further includes, during a first monitoring occasion associated with the application, transmitting, by the network device, the first data to a first group of multiple user equipment (UE) devices that execute the application. The method further includes transmitting a message to the first group after transmitting the first data. The message indicates completion of the first monitoring occasion.

Abstract: In an aspect, a BS obtains at least one neural network function configured to facilitate a UE to derive a likelihood of at least one set of positioning measurement features being present at a candidate set of positioning estimates for the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The BS transmits the at least one neural network function to the UE. In another aspect, the UE obtains positioning measurement data associated with a location of the UE (e.g., locally the UE, or remotely from the BS). The UE determines a positioning estimate for the UE based at least in part upon the positioning measurement data and the at least one neural network function.

Abstract: In an aspect, a UE obtains information (e.g., UE-specific information, etc.) associated with a set of triggering criteria for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement feature processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedure, obtains positioning measurement data associated with a location of the UE, and determines a positioning estimate for the UE based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria.

Abstract: In an aspect, a network component transmits, to a UE, at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE may obtain positioning measurement data associated with the UE, and may process the positioning measurement data into a respective set of positioning measurement features based on the at least one neural network function. The UE may report the processed set of positioning measurement features to a network component, such as the BS or LMF.

Abstract: In an aspect, a UE obtains information (e.g., UE-specific information) associated with a set of triggering criteria (e.g., from a server, a serving network, e.g., in conjunction with or separate from a set of neural network functions) for a set of neural network functions, the set of neural network functions configured to facilitate positioning measurement feature processing at the UE, the set of neural network functions being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE obtains positioning measurement data associated with a location of the UE, and processes the positioning measurement data into a respective set of positioning measurement features based at least in part upon the positioning measurement data and at least one neural network function from the set of neural network functions that is triggered by at least one triggering criterion from the set of triggering criteria.

Abstract: The present disclosure relates to methods and devices for communicating based on improved signaling. A base station can transmit an indication of resources in time and frequency to a UE allocated for NOMA communication with the UE. The indication of resources can comprise a set of NA-RUs. The UE can then transmit uplink NOMA communication to the base station based on the indication of resources received from the base station. Also, the base station can transmit a compact UL resource grant via DCI, or signal the semi-static transport format configuration via RRC, to the UEs allocated for NOMA communication. The DCI or the payload of RRC signaling can be scrambled with a NOMA group RNTI, as well as comprise NOMA transmission parameters indicated by a MCS table. The UE can then transmit uplink NOMA communication to the base station based on the DCI or the RRC signaling.

Abstract: In an aspect, a UE estimates channel state(s) of channels(s) between the UE and network node(s) based on DL RS(s) for positioning that are scheduled and transmitted on DL resources from network node(s). The UE may apply TR filter(s) derived based on the estimated channel state(s) to a UL-RS for positioning. The UE may transmit the TR filtered UL-RS on UL resources which are associated with the DL resources of the DL-RS(s) and which are scheduled by the network node(s). The association between the UL resources and the DL resources may be indicated to the UE by the network node(s).

Abstract: In at least one embodiment, a user equipment (e.g., a mobile device) may receive a location request message from a server (e.g., a Location Management Function), wherein the location request message identifies a plurality of Quality of Service parameters for the LTE Positioning Protocol (LPP) positioning session. In at least one embodiment, the user equipment may receive a selection of one or more Quality of Service parameters for the LPP positioning session. In at least one embodiment, the user equipment may configure the user equipment according to the one or more selected Quality of Service parameters. In at least one embodiment, the user equipment may generate a location response message according to the selected QoS parameters. The user equipment may send the location response message to the server. A UE can select the QoS parameters during communication with a server and/or with a second UE via sidelink communications.

Abstract: Methods, systems, and devices for wireless communications are described. An example of a method in accordance with the present disclosure may include a UE identifying that the UE is configured to use a contention-based or uncoordinated (e.g., two-step) random access procedure including an uplink message and a downlink response, where the uplink message includes at least a preamble portion and a data portion. The UE may map an identifier of the UE into a block of source symbols, generate a codeword including a block of coded symbols from the block of source symbols, and generate a set of sequences, where each sequence is based at least in part on a value associated with a corresponding coded symbol of the block of coded symbols. The UE may transmit the generated set of sequences in a preamble portion of the uplink message.

Abstract: Aspects of the disclosure relate to power reduction measures that can be employed by wireless user equipment (UE) participating in an extended reality (XR) application. A wireless UE, while operating in a first power state, may receive, from an XR service provider, a plurality of packets corresponding to a video frame. The UE may reassemble and decode the received packets to reproduce the video frame. Once the UE determines it has received information sufficient to reproduce the video frame, the UE may enter a second power state, different from the first power state, for a predetermined amount of time. Other aspects, embodiments, and features are also claimed and described.

Abstract: Certain aspects of the present disclosure provide techniques for scaling transmission power across transmit chains for physical uplink shared channel (PUSCH) transmissions. In some cases, a UE may determine a transmit power budget, receiving signaling indicating how to allocate the transmit power budget across transmit chains for a physical uplink shared channel (PUSCH) transmission, allocate the transmit power budget across transmit chains for a physical uplink shared channel (PUSCH) transmission, and transmitting the PUSCH using the transmit chains according to the determined transmit power allocation.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication of a sounding reference signal (SRS) resource set to be used to signal a virtual port used for a physical uplink shared channel (PUSCH) communication, wherein the virtual port is a combination of at least two non-coherent or partially-coherent antenna ports of the UE using precoding and cyclic delay diversity; and transmit an SRS for the at least two non-coherent or partially-coherent antenna ports using one or more resources of the SRS resource set. Numerous other aspects are provided.