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 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: 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: 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.

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: 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: Disclosed are techniques for positioning. In an aspect, a positioning entity obtains one or more positioning measurements of one or more reference signals transmitted to a user equipment (UE) by one or more transmission-reception points (TRPs), determines one or more physical locations of the UE based, at least in part, on the one or more positioning measurements and locations of the one or more TRPs, and determines one or more virtual locations of the UE based, at least in part, on the one or more positioning measurements and locations of the one or more TRPs, wherein the one or more virtual locations of the UE are images of the one or more physical locations of the UE.

Abstract: A user equipment (UE) may receive a configuration for collecting measurements to at least one of train or verify a positioning model. The UE may receive a set of positioning signals. The UE may measure the set of positioning signals. The UE may output a subset of the measured set of positioning signals to at least one of train or verify the positioning model based on the configuration. The UE may output the subset of the measured set of positioning signals by training verifying the positioning model at the UE based on the subset of the measured set of positioning signals, or by transmitting the subset of the measured set of positioning signals to at least one of train or verify the positioning model.

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: 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.

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: In some implementations, an example method of wireless communication at a base station for wireless positioning a user equipment (UE) may comprise: transmitting, to a different device, assistance indicating a location of antenna reference points (ARPs) of the base station for a first set of TRPs configured for receiving uplink (UL) sounding reference signals (SRSs) different from a location of antenna reference points (ARPs) of the base station for a second set of TRPs configured for transmitting downlink (DL) position reference signals (PRSs). The method also comprises performing a measurement of a UL reference signal received by the first set of TRPs. And the method further comprises transmitting the measurement to the different device.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that support machine learning (ML)-based positioning that mitigates user equipment (UE) clock drift. In some aspects, a UE may receive, from a network entity, positioning configuration that indicates positioning operations to be performed to gather training data to train an ML positioning model to account for UE clock drift. The UE may monitor for positioning reference signals from a transmit/receive point and transmit positioning measurements to a training entity. The positioning measurements may include multiple measurements at a fixed location, or the UE may augment the positioning measurements based on simulated clock drift measurements. Alternatively, the UE may transmit clock drift information with the positioning measurements to the training entity. Alternatively, the UE may utilize a hybrid approach that combines multiple positioning measurements with augmentation or providing clock drift information.

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.