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: A method may include obtaining first nuclear magnetic resonance (NMR) data and acquired permeability data regarding a geological region of interest. The method may further include determining, using a neural network and second NMR data, predicted permeability data regarding a predetermined formation within the geological region of interest. The neural network may be trained using the first NMR data and the acquired permeability data. The method may further include determining a predetermined fracture size within the predetermined formation based on the predicted permeability data. The method may further include determining a predetermined type of lost circulation material (LCM) based on the predetermined fracture size. The method may further include transmitting a command to a well system that triggers a well operation using the predetermined type of LCM.

Abstract: A predictive current control method for a six-phase induction motor (6PIM) includes initializing a six-phase inverter at a present switching state, measuring a stator current and a rotor speed, transforming the stator current to ?? and xy orthogonal frame, estimating a pair of currents in ?? and xy frame based upon the measured and an estimated rotor speed, and calculating a future stator current for a future control sample of the inverter. The method further includes selecting four voltage vectors (VV) from ?? and xy frames, implementing a cost function to calculate an error between the predicted future and a reference stator current, calculating a plurality of cost function results of each of the four VV, identifying a future VV that provides a minimum cost function results for the future control sample, saving the future VV to be used as an input to the lookup table for the next control sample and controlling the 6PIM by applying the future control sample as the switching state of the inverter.

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 method for controlling Short Message Service (SMS) communication by a Dual Subscriber Identity Module (SIM) Dual Standby (DSDS) device is provided. The method includes detecting that a first SIM is on a voice call and a second SIM is in a standby mode, determining whether page information is received at the second SIM from a server during the voice call of the first SIM and/or the voice call of the first SIM is terminated, immediately sending a refresh registration signal to the server or triggering an event at a DSDS device when the page information is received at the second SIM from the server during the voice call of the first SIM and/or the voice call of the first SIM is terminated and immediately receiving a pending SMS from the server in response to sending the refresh registration signal to the server or triggering the event.

Abstract: A thermochemical engine that includes a reaction chamber having a nitrite source inlet, an ammonium source inlet, and a gas outlet, and a gas-driven energy transducer coupled to the reaction chamber such that a gas produced in the reaction chamber moves the gas-driven energy transducer in a process of exiting the reaction chamber via the gas outlet. The thermochemical engine is configured to produce the gas under pressure by reacting in the reaction chamber a nitrite source comprising a nitrite ion and an ammonium source comprising an ammonium ion in the presence of water at a reaction temperature of 50 to 150° C.

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: A solar-powered ammonia and oxygen production system is disclosed. The system includes an electrolyzer, a PV cell unit, an absorption cooling unit (ACU), a solar parabolic trough collector (PTC), a cryogenic air separation unit (CSU), a cooler, an air compressor, a hydrogen compressor and a nitrogen compressor, an air turbine, and a catalytic converter. The system utilizes these components to co-produce ammonia and oxygen while generating surplus power. The PTC is thermally coupled with the ACU to cool the air coming from the air compressor. The cold air is supplied to the CSU. The nitrogen output from the CSU feeds into the nitrogen compressor, and from there, to the catalytic converter. The hydrogen from the electrolyzer is compressed by the hydrogen compressor, and supplied to the catalytic converter. The catalytic converter further produces ammonia based on the hydrogen and nitrogen received therein.

Abstract: Systems and methods relating to estimating data symbols encoded in a received signal that has been transmitted at a faster than Nyquist rate. The present invention uses a heuristic method for non-convex problems and involves an input matrix and received samples from the received signal. These are preconditioned and the preconditioned input matrix is factorized. The method then iterates a three-step process that estimates the sequence of data symbols based on the current estimate, the preconditioned input matrix, the preconditioned samples vector, a multiplier vector, and an auxiliary vector. The process then calculates the next multiplier vector and the next auxiliary vector. If the result indicates a minimum as compared to the best estimate, then the result is used as the best estimate. Multiple iterations of the process are performed, and the multiple iterations are repeated for multiple random initializations of the estimate.

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: The disclosed technology is generally directed to code transparency. In one example of the technology, raw input data that includes version information that is associated with code is received. The version information includes pull requests associated with the code. Extracted key phrases are provided by performing a key-phrase extraction on the raw input data. A list of documents and a list of people are determined based at least in part on the extracted key phrases. A relevance ranking is performed on the list of documents and the list of people. Based on the relevance ranking, relevant documents and relevant people are determined, such that the relevant documents and the relevant people are relevant to the code. To a developer environment that is associated with the code, information associated with the relevant documents and/or the relevant people is provided.

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.