Abstract: Disclosed are methods and systems for monitoring control channel candidates in a common search space (or a common search space set) in a wireless communication network. One of the methods is performed at a user equipment (UE). The method comprises: determining a first set of parameters for configuring a first set of monitoring occasions for the UE to monitor control channel candidates in a common search space (CSS); transmitting, to a network entity, an indication indicating the first set of parameters; and monitoring control channel candidates in the CSS during the first set of monitoring occasions.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, a network entity may obtain information (e.g., a data set, a model update) corresponding to a user equipment (UE), the information associated with a machine learning model. The network entity may determine whether the information or the UE providing the information is trusted or untrusted based on the information. The network entity may output, to another network entity, an indication that the information corresponding to the UE is considered untrusted or trusted based on a predicted output of the machine learning model (e.g., if the model is trained using the information). The other network entity may further train the machine learning model using trusted information and may refrain from using untrusted information. Additionally, or alternatively, if a UE is determined to be untrusted, a network entity may configure the UE to refrain from further data collection processes.

Abstract: An apparatus for wireless communication at a UE is provided. The apparatus is configured to receive a configuration to report interference measurement information indicating interference measurements for each interference measurement resource of a set of interference measurement resources and Rx beam information used by the UE for performing interference measurements on each interference measurement resource of the set of interference measurement resources. The apparatus is configured to receive a set of interference measurement reference signals on the set of interference measurement resources, and to measure interference on each interference measurement resource of the set of interference measurement resources to obtain the interference measurement information. Each interference measurement is through one Rx beam of a set of Rx beams.

Abstract: Aspects presented herein may improve interference measurements for dynamic and/or bursty transmissions. In one aspect, a UE receives a configuration of a null tone pattern from a network node, where the configuration of the null tone pattern includes a set of null tones associated with a set of resources, where at least one null tone in the set of null tones corresponds to at least one resource in the set of resources. The UE measures interference corresponding to the set of resources associated with the null tone pattern. The UE transmits at least one of a first indication of an adjusted null tone pattern based on the interference corresponding to the set of resources or a second indication of the interference corresponding to the set of resources, where at least one of the first indication or the second indication is transmitted to the network node.

Abstract: Methods, systems, and devices for wireless communications are described. A network entity may obtain a first dataset for a predictive model and may determine a validity of the first dataset based on a legitimacy test of the first dataset. A legitimacy test may include comparing a first output of a predictive model associated with the first dataset to a second output of the predictive model associated with at least one second dataset, where a result of the legitimacy test may be based on a performance metric associated with the comparing and may indicate whether the first dataset is valid or corrupted. The network entity may perform the legitimacy test and may transmit information associated with a result of the legitimacy test to one or more other network entities. In some cases, the network entity may receive a request to perform the legitimacy test.

Abstract: The network node or the core network may obtain a plurality of datasets for training a ML model, each dataset including a set of metrics collected by a corresponding UE from the at least one UE, and assign at least one data signature associated with a source of each dataset of the plurality of datasets. The network node or the core network may identify a first data signature associated with a corrupted dataset, and filter out at least one dataset associated with the first data signature from the plurality of datasets for training the ML model based on the first data signature being associated with the corrupted dataset.

Abstract: Methods, systems, and devices for wireless communication are described. Some wireless communications systems may support interference reporting as a mixture distribution model. A user equipment (UE) may receive signals via one or more interference measurement resources. The UE may obtain interference measurements for a wireless communication channel based on the signals. The UE may transmit an interference report to a network entity that indicates a respective set of one or more distribution parameters for each probability distribution of a set of multiple probability distributions of the mixture distribution. Each probability distribution may correspond to a respective component of the mixture distribution. The network entity may schedule wireless communications with the UE based on the interference report and the mixture distribution.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network entity, a search space configuration indicating a first configuration for a UE specific search space (USS) that is associated with a first slot group size and a second configuration for a common search space (CSS) that is associated with a second slot group size. The UE may receive, from the network entity, a communication via a downlink control channel based at least in part on monitoring the downlink control channel in accordance with the search space configuration. Numerous other aspects are described.

Abstract: A method of wireless communication, by a user equipment (UE), includes determining whether conforming input has been received for each of multiple input branches to a neural network. Each input branch represents a different modality of input features to the neural network. The method also includes replacing an activation with a replacement activation for at least one neural network layer of each of the input branches associated with input determined to be non-conforming input. The method further includes predicting an output parameter based on conforming input received at each input branch and the replacement activation.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by a user equipment (UE), including receiving, from a network entity, an indication to report at least one of a channel quality indicator (CQI) or a pre-coding matrix indicator (PMI) for one or more future communications resources and sending, to the network entity, a channel state feedback (CSF) report indicating at least one of a predicted CQI or a predicted PMI for the one or more future communications resources prior to the one or more future communications resources occurring in time.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by a user equipment (UE), including receiving, from a network entity, one or more parameters for performing interference prediction at the UE; predicting, for each of at least one communications resource, a predicted interference at the UE, wherein the predicted interference comprises a plurality of probability values, each probability value of the plurality of probability values being associated with a different class of a plurality of classes, each class of the plurality of classes associated with a corresponding range of interference power; and sending, to the network entity, a report based on the predicted interference.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive a signal associated with a set of resources. The first network node may determine, using a multi-head machine learning model having a body module and a plurality of head modules, a plurality of estimated parameter values of a plurality of parameters corresponding to the set of resources, wherein the body module extracts a set of common features based at least in part on a set of model inputs corresponding to the set of resources, and wherein the plurality of head modules generate the plurality of estimated parameter values based at least in part on the set of common features. The first network node may perform a wireless communication operation based at least in part on the plurality of estimated parameter values. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network entity may generate cell information about a first cell provided at least in part by the first network entity, the cell information associated with one or more potential sources of interference at a second cell provided at least in part by a second network entity, the one or more potential sources of interference being associated with the first cell. The first network entity may communicate the cell information to the second network entity. Numerous other aspects are described.

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: Aspects of the present disclosure include methods, apparatuses, and computer readable media for receiving interference information relating to at least one of a scheduling granularity, a subcarrier spacing, a scheduler type, resource utilization, a number of active UEs, a number of active beams, an elevation and an azimuth angle of each of the number of active beams, a synchronization signal block index, or a semi-persistent scheduling configuration associated with at least one neighbor base station (BS), estimating or predicting, based on the interference information received, an interference power profile caused by the at least one neighbor BS, receiving at least one of data information or control information, and decoding the at least one of the data information or the control information based on the interference power profile.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit capability information indicating a physical downlink control channel (PDCCH) monitoring capability, wherein the PDCCH monitoring capability indicates a minimum length for a group of slots and a maximum number of consecutive slots including at least one search space within the group of slots. The UE may receive a search space set configuration associated with a plurality of search spaces, wherein the search space set configuration is based at least in part on a slot group length that is greater than or equal to the minimum length. The UE may monitor for control information based at least in part on the search space set configuration. 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 receive a configuration associated with a plurality of search spaces, wherein the plurality of search spaces are distributed across a plurality of slots. The UE may drop all search spaces of an identified slot based at least in part on one or more overbooking conditions. The UE may monitor a remainder of the plurality of search spaces other than the dropped search spaces. 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 determine an amount of time between uplink allocations that is needed for performing frequency retuning during operation at a subcarrier spacing (SCS). The UE may perform frequency retuning in association with hopping from a first set of frequency resources, associated with transmitting a first uplink transmission, to a second set of frequency resources, associated with transmitting a second uplink transmission, during operation at the SCS, wherein the frequency retuning is performed during a set of consecutive unallocated resources determined based at least in part on the amount of time between uplink allocations that is needed for performing frequency retuning. Numerous other aspects are described.

Abstract: Apparatus, methods, and computer-readable media for facilitating reference signal multiplexing with downlink data are disclosed herein. An example method for wireless communication at a user equipment (UE) includes receiving, from a base station, a reference signal configuration associated with at least one of a tracking reference signal (TRS) and a channel state information reference signal (CSI-RS), the reference signal configuration comprising a symbol level rate matching configuration, a precoder configuration, or a guard tone configuration. The example method also includes receiving, from the base station, a transmission comprising at least a reference signal and data based on the reference signal configuration.

Abstract: Certain aspects of the present disclosure provide techniques for frequency tracking and timing tracking using wideband reference signals (RSs). A method that may be performed by a user equipment (UE) includes monitoring for a wideband RS from a network entity when one or more conditions are met, the wideband RS occupying a wider band of frequency resources than a tracking reference signal (TRS) transmitted by the network entity; and performing at least one of frequency tracking or timing tracking based on the monitoring.