Abstract: Disclosed are techniques for determining tone patterns and associated power levels for transmission of reference signals. A tone pattern (e.g., with each tone pattern occupying a resource element in a resource block) can be determined for a reference signal for use in wireless communications between a receiving device and a transmitting device. A plurality of power levels for the tone pattern can be determined. The plurality of power levels can include a respective power level determined for each resource element associated with the tone pattern. One or more of the tone pattern or the plurality of power levels can be used (e.g., transmitted to the transmitting device) for transmission of the reference signal (e.g., from the transmitting device to the receiving device).

Abstract: Disclosed are techniques for determining tone patterns and associated overlay codes for transmission of reference signals. A tone pattern (e.g., with each tone pattern occupying a resource element in a resource block) can be determined for a reference signal for use in wireless communications between a receiving device and a transmitting device. The tone pattern can include an irregular combination of resource elements in one or more resource blocks for the reference signal. The resource elements can be shared by a plurality of antennas for communication of one or more reference signals between at least the user equipment and the base station. An overlay code may be determined for the tone pattern. Information associated with the transmission of the reference signal using the tone pattern and the overlay code may be communicated by the receiving device.

Abstract: Apparatuses and methods for wireless communication are provided. In an aspect, a user equipment (UE) receives a DCI from a base station, the DCI including an update to a periodically-occurring scheduling, where an absolute time for the update to take effect is specified in an RRC configuration of the DCI. The UE applies the update to the periodically-occurring scheduling for communications of the UE beginning at and following the absolute time. In another aspect, the UE receives at least one downlink communication that updates a plurality of SPS or CG parameters. The UE determines an action time for the update to take effect for each parameter, where the action time is a function of a type of each parameter. The UE applies the update to each parameter for communications of the UE beginning at and following a respective action time.

Abstract: A method of wireless communication by a user equipment (UE) may include receiving a message requesting estimated channel characteristics of a secondary band based on measuring characteristics of a channel in the primary band. The method also includes measuring characteristics of the channel in the primary band. The method estimates channel characteristics of the secondary band based on the primary band characteristics measurements. The estimating may occur without measuring signals in the secondary band. Further, the method may report the estimated channel characteristics of the secondary band and receive an indication of a secondary cell group, based on the estimated channel characteristics of the secondary band.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling from a network node indicating a reference signal (RS) configuration for RS measurements. The RS configuration may indicate a first set of beams, a first periodicity for measuring RSs on the first set of beams, a second set of beams, and a second periodicity for measuring RSs on the second set of beams. The UE may monitor a wireless channel for a first set of RSs communicated via the first set of beams according to the first periodicity and monitor the wireless channel for a second set of RSs communicated via the second set of beams according to the second periodicity. The UE and the network node may dynamically update one or more of the beam sets, periodicities, or both, to perform RS measurements.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit compressed interference information to a network entity. The UE may measure interference at the UE over a set of interference measurement resources. The UE may determine an interference distribution over the set of resources. The UE may encode the interference distribution using a compressions scheme which may reduce a payload or size of the interference distribution. The compression scheme may include compressing the distribution of the interference. Encoding the interference information may include generating a mean vector and a covariance matrix representative of the distribution of the interference measured over the given set of interference measurement resources. The UE may transmit the encoded interference information, and the network entity may decode the encoded interference information. The network entity may schedule communications with the UE based on the interference information.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a request to use a preferred number of transmission configuration indicator (TCI) states for communications with one or more base stations. The UE may receive an indication to use a number of TCI states based at least in part on the request. Numerous other aspects are described.

Abstract: A method of wireless communication by a user equipment (UE) includes receiving an uplink grant from a network device. The method also includes determining, by a lower analog media access control (MAC-A) layer of an analog data communications stack, a quantity of analog neural network gradients to transmit in a data packet using resources allocated by the uplink grant. The determining is based on an analog physical (PHY-A) layer encoding scheme and the resources allocated by the uplink grant. The method further includes segmenting the analog neural network gradients into the data packet. The method still further includes transferring the data packet to the PHY-A layer for transmission to the network device across a wireless network.

Abstract: A method of wireless communication by a user equipment (UE) includes generating, by an upper analog media access control (MAC-A) layer of a protocol stack, a data packet with a header and a data field. The header indicates a neural network identifier (ID) and a request ID. The data field includes gradient data for a federated learning iteration. The method also includes transferring the data packet to lower layers of the protocol stack for transmission to a network device across a wireless network.

Abstract: A UE may identify, in each round other than an initial round, a first plurality of local model update elements of a present round. The first plurality of local model update elements of the present round may be associated with an updated local machine learning model. The UE may transmit to a base station, in each round other than the initial round, over a multiple access channel via analog signaling, a second plurality of local model update elements of the present round based on a third plurality of local model update elements of the present round. The third plurality of local model update elements of the present round may correspond to a sum of the first plurality of local model update elements of the present round and a local model update error of a previous round immediately before the present round. The analog signaling may be associated with OTA aggregation.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information for a beam report, wherein the configuration information indicates whether the beam report is associated with at least one of a subband granularity or a wideband granularity, wherein the beam report is for a reference signal received power (RSRP) measurement or a signal to interference plus noise ratio (SINR) measurement, and wherein the beam report is based at least in part on a channel state information reference signal (CSI-RS) or a synchronization signal block (SSB). The UE may determine the beam report based at least in part on the configuration information. The UE may transmit the beam report. Numerous other aspects are provided.

Abstract: A UE may identify a plurality of local model update elements associated with an updated local machine learning model. The updated local machine learning model may have been generated based on a global machine learning model received from a base station and a local dataset. The UE may identify one or more local model update elements of the plurality of local model update elements for update element dropping based on at least one of a channel gain, a PAPR specification, an RF emission specification, or an RF condition. The UE may transmit, to the base station over a multiple access channel via analog signaling, at least some local model update elements of the plurality of local model update elements based on dropping of the identified one or more local model update elements.

Abstract: Aspects relate to mechanisms for wireless communication devices to report a beam failure. A UE detects a beam failure with a cell. The UE transmits a beam failure recovery request including an indication of a candidate beam to a base station in response to detecting the beam failure. The base station transmits a beam failure recovery response to the UE indicating whether the beam failure recovery request is received. The UE applies the candidate beam indicated in the beam failure recovery request for a downlink channel following a predetermined number of symbols after an end of the beam failure recovery response. The UE transmits an acknowledgment (ACK) message to the base station when the beam failure recovery response is decoded. The UE applies the candidate beam indicated in the beam failure recovery request for a downlink channel following a predetermined number of symbols after an end of the ACK message.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for communicating capability information (e.g., regarding neural network blocks supported by a user equipment (UE) and a base station). A base station may configure one or more neural network block parameters, and may transmit the neural network block parameters to the UE. The UE may configure or reconfigure a neural network block according to the neural network block parameters, and may process one or more signals, e.g., baseband signals, generated by the UE using the neural network block and the neural network block parameters.

Abstract: Methods, systems, and devices for wireless communication are described. Generally, the described techniques provide for reporting content processing times to a base station to allow the base station to efficiently schedule bi-directional communications one or more UEs. A content processing time may correspond to the time taken by a UE to process one or more downlink signals received in one or more downlink transmissions. In some examples, the UE may report a content processing time for each downlink transmission. In some examples, the UE may report one or more content processing times for multiple downlink transmissions. The base station may use the content processing times to configure an appropriate gap between downlink and uplink transmissions such that the UE may have sufficient time to process downlink signals before transmitting one or more uplink transmissions in response to the one or more downlink transmissions.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine to switch from monitoring for a first reference signal to monitoring for a second reference signal, and monitor for the second reference signal. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communication at a user equipment (UE) are described. A UE may receive, from a base station, signaling including information associated with a surrounding in which the UE is located. In some examples, the information associated with the surrounding in which the UE is located may be determined via a sensor coupled with the base station. For example, the UE may receive one or more environmental parameters including at least one of UE position information, a time of day, a number of connected UEs at the base station, or a combination thereof. The UE may then perform a communication procedure with the base station based on the information associated with the surrounding in which the UE is located.

Abstract: Various aspects of the present disclosure relate to beam management procedures in wireless communications systems. Some implementations of the present disclosure more specifically provide techniques for reporting measurements for proposed beams (such as beams predicted to be the best beams for communications to and from a UE and a network entity) and other beams detected by the UE. The techniques may be used, for example, to identify mismatches between a proposed set of beams and actual best beams for communications to and from a UE and a network entity and allow for the retraining of machine learning models used to identify the proposed set of beams for communications to and from a UE and a network entity.

Abstract: This disclosure provides systems, methods, devices, and computer-readable media that support base station-assisted and unassisted sharing of particular information between neighboring user equipments (UEs). In a particular implementation, a method of wireless communication includes receiving, at a base station from a first UE, an information request corresponding to neighbor UEs of the first UE. The method also includes retrieving, at the base station from one or more serving UEs, corresponding information. The method further includes transmitting, from the base station to the first UE, an information package that includes the information corresponding to at least one of the one or more serving UEs. Other aspects and features are also claimed and described.

Abstract: A parameter server located at a base station may coordinate federated learning among multiple user equipment (UEs) using over-the-air (OTA) aggregation with power control to mitigate aggregation distortion due to amplitude misalignment. The parameter server may select a first group of UEs for a first OTA aggregation session of a federated learning round based on a common received power property of each UE in the first group of UEs. The parameter server may transmit a global model to the first group of UEs. Each UE in the first group may train the global model based on a local dataset and transmit values associated with the trained local model. The parameter server may receive, on resource elements for the first group of UEs, a first aggregate amplitude modulated analog signal representing a combined response from the first group of UEs.