Abstract: Techniques are provided for reporting mobility and/or handover related measurements and events for Artificial Intelligence/Machine Learning (AI/ML) positioning. An example method for reporting mobility and handover related measurements and events for AI/ML positioning includes receiving mobility reporting configuration information from a location server, obtaining mobility indicators from one or more wireless nodes based at least in part on the mobility reporting configuration information, and providing the mobility indicators to the location server.

Abstract: Techniques are provided for utilizing QCL relationships with AI/ML models and reference signals. An example method for providing positioning reference signal configuration information includes receiving, from a wireless node, an indication of a quasi co-location (QCL) relationship between an AI/ML model and a reference signal, configuring one or more positioning reference signal resources based at least in part on the indication of the QCL relationship, and providing configuration information for the one or more positioning reference signal resources to the wireless node.

Abstract: Disclosed are techniques for wireless sensing. In an aspect, a sensing node receives, from a plurality of sensing nodes, a corresponding plurality of sets of points, wherein each point in each set of points of the plurality of sets of points represents a detection of a target object in an environment of the plurality of sensing nodes, and wherein the detection of the target object is based on one or more measurements of one or more sensing signals transmitted by at least one sensing node of the plurality of sensing nodes, and transmits, to a sensing entity, a sensing report indicating a point cloud determined based on the plurality of sets of points, wherein the sensing report further indicates, for each point in the point cloud, identifiers of at least one set of sensing nodes of the plurality of sensing nodes associated with the point.

Abstract: Disclosed are techniques for wireless communications. In an aspect, a user equipment (UE) may obtain one or more measurements of one or more Positioning Reference Signal (PRS) resources. The UE may report Time of Arrival (ToA) information for each of the one or more PRS resources to a network entity, wherein the ToA information reported is relative to a reference timing mark.

Abstract: Certain aspects of the present disclosure provide techniques for quasi-model (QML) relation indication and configuration for artificial intelligence (AI)/machine learning (ML) air interface operation. An example method, performed at a first wireless node, generally includes transmitting, to a second wireless node, an indication that a first machine learning (ML) model shares one or more properties with at least a second ML model; and utilizing at least the first ML model to communicate with the second wireless node.

Abstract: An irregular slot may include a scenario in which a user equipment (UE) transmits a sensing signal, which may be an uplink transmission, in a downlink slot or a flexible slot. In some other examples, an irregular slot may include a scenario in which a transmit receive point (TRP) transmits a sensing signal, which may be a downlink transmission, in an uplink slot or a flexible slot. As a result, the sensing signal transmission can degrade throughput and/or quality of service of other communication devices' transmissions. Accordingly, a wireless communication device, such as a UE or a TRP, that is to transmit a sensing signal in an irregular slot may be configured with a power constraint parameter or a beam parameter. In some examples, aspects of the present disclosure may reduce an impact of interference or noise on other wireless communication devices' transmissions.

Abstract: Disclosed are techniques for sensing calibration. In an aspect, a communications device obtains a set of attributes associated with a radio frequency for sensing (RF-S) calibration target, obtains measurement information associated with a RF-S calibration procedure between a first set of wireless sensing nodes and the RF-S calibration target, and determines a set of RF-S calibration compensations based on the measurement information and the set of attributes. In another aspect, a communications device determines a location of a target object based on the set of RF-S calibration compensations.

Abstract: A sensing method includes: implementing, at a UE, a sensitivity time control profile to change a gain applied over time to a sensing signal received by the UE; and measuring the sensing signal to obtain a sensing signal measurement; wherein the method comprises at least one of: obtaining the sensitivity time control profile based on a sensitivity time control message received by the UE from a network entity; or transmitting a sensing report from the UE to the network entity, the sensing report indicating a measurement of the sensing signal and that sensitivity time control was implemented to obtain the sensing signal measurement.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that provides operational control signaling in support of interoperability functionalities with surveillance infrastructure. In a first aspect, a method of wireless communication includes establishing communication between a network element and one or more multimedia/security/surveillance (MSS) entities using an MSS interface. The network entity may transmit operational control signals to the MSS entities via the MSS interface. The MSS entities may then act on the operational control signals and transmit MSS data to the network element via the MSS interface. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that support fifth generation (5G) new radio (NR) radio frequency (RF) sensing with polarization configuration. In a first aspect, a method of wireless communication includes receiving at a network node participating in 5G NR RF sensing a first polarization indicator and a second polarization indicator from a network entity. The first polarization indicator is associated with transmission of a first reference sensing signal and the second polarization indicator is associated with reception of a second reference sensing signal. The network node performs sensing measurements using the first polarization indicator and the second polarization indicator and transmits a sensing measurement report including the sensing measurements associated with the second reference sensing signal to the network entity. Other aspects and features are also claimed and described.

Abstract: Methods, systems, and devices for wireless communication are described. Aspects of the disclosure describe narrow beam-based channel access that enables a device to communicate in a shared radio frequency spectrum band without performing channel access procedures. Specifically, aspects of the disclosure describe techniques for defining one or more directional beams as a narrow beam, where the relative narrowness of the beam may be determined in the context of interference (e.g., as opposed to being defined from a geometric perspective). For example, a particular beam may be determined to be a narrow beam, and therefore associated with communications in shared radio frequency spectrum bands without channel access procedures, based on one or more metrics and a number of spatial streams associated with the beam. A device may use such narrow beams for communications without channel access procedures in shared radio frequency spectrum bands.

Abstract: A positioning reference assistance entity (PRAE) for providing positioning data to a network entity of a communication network having at least one transmission/reception point (TRP), the PRAE comprising: at least one sensor; at least one transceiver; at least one memory; and at least one processor, in signal communication with the at least one transceiver and the at least one memory, configured to: acquire physical sensory information, from the at least one sensor, of an environment in which the PRAE and the TRP are located; and transmit, via the at least one transceiver, the positioning data to the network entity based on the physical sensory information.

Abstract: A wireless device may receive environment information associated with an area. The wireless device may simulate a set of positioning measurements based on the environment information. The wireless device may calculate a positioning environment based on the simulated set of positioning measurements. The wireless device may calculate the positioning environment further based on a set of measured positioning signals obtained by the wireless device. The wireless device may output the positioning environment to train a positioning model. The wireless device may output the positioning environment by training the positioning model at the wireless device based on the positioning environment. The wireless device may output the positioning environment by transmitting the positioning environment to a training entity to train the positioning model.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that support hopping monitoring operation. According to some aspects, hopping monitoring configuration provides for sub-band baseband bandwidth hopping, antenna resource hopping, or combinations thereof. In operation according to some aspects, wireless communication devices may provide information regarding capability of the UE for baseband frequency hopping. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that support machine learning (ML) positioning model monitoring and life cycle management. In some aspects, a user equipment (UE) may receive, from a network entity, a configuration message associated with a first set of reference signals and a second set of reference signals. The UE may perform first measurements based on the first set of reference signals received from a first set of transmit/receive points (TRPs) to generate first measurement data. The UE may perform second measurements based on the second set of reference signals received from a second set of TRPs to generate second measurement data. The UE may transmit, to the network entity, a reporting message based on the second measurements or based on the first measurement data and the second measurement data. Other aspects and features are also claimed and described.

Abstract: A user equipment (UE) may receive a Wi-Fi positioning configuration comprising a set of measurement gaps for a reception of a set of Wi-Fi reference signals (RSs). The UE may receive the set of Wi-Fi RSs during the set of measurement gaps. The UE may measure the set of Wi-Fi RSs. The UE may calculate a position of the UE using a positioning model based on the measured set of Wi-Fi RSs. The UE may transmit a report message comprising the calculated position of the UE. The UE may receive and measure a set of UE-to-universal mobile telecommunications system terrestrial radio access network (UE-UTRAN) (Uu) RSs during a second set of measurement gaps configured by a Uu positioning configuration. The UE may calculate the position of the UE using the positioning model further based on the measured set of Uu RSs.

Abstract: A user equipment (UE) may receive a configuration message including a plurality of configurations to at least one of measure or report a set of positioning signals. The UE may select a configuration from the plurality of configurations. The UE may receive the set of positioning signals. The UE may measure the set of positioning signals and transmit a first report message including a first report of the measured set of positioning signals based on the selected configuration. The UE may measure the set of positioning signals based on the selected configuration and transmit a second report message including a second report of the measured set of positioning signals. The UE may measure the set of positioning signals based on the selected configuration and transmit a third report message including a third report of the measured set of positioning signals based on the selected configuration.

Abstract: In an aspect, a first wireless node, obtains a reference signal for positioning or sensing (RS-P-S) configuration that configures RS-P-S occasions, wherein the RS-P-S occasions comprises RS-P occasions associated with a position estimation session or radio frequency for sensing (RF-S) occasions associated with an RF-S procedure. The first wireless node further obtains a discontinuous communication (DCX) configuration associated with the first wireless node or a second wireless node. In an aspect, a periodicity associated with the RS-P-S occasions matches or overlaps with a periodicity of DCX ON periods associated with the DCX configuration, and the RS-P-S configuration comprises a DCX ON offset associated with a respective RS-P-S occasion per matching or overlapping DCX ON period. The first wireless node performs operation(s) associated with a configured RS-P-S occasion of the RS-P-S occasions in accordance with the RS-P-S configuration.

Abstract: Disclosed are techniques for wireless sensing.

Abstract: A user equipment (UE) may monitor use of a positioning method by monitoring a key performance indicator (KPI) associated with a location-based service. The UE may receive a set of positioning signals. The UE may measure the set of positioning signals. The UE may receive a set of location-based service signals associated with the location-based service of the UE. The UE may transmit a report including at least one of the KPI associated with the location-based service or a first indicator that the KPI associated with the location-based service is within a failure threshold range. The UE may receive a second indicator to change a positioning method of the UE based on the report. The UE may calculate a location of the UE using the changed positioning method based on the measured set of positioning signals.