Abstract: Chatbot conversation management includes a generic model associated with a first property associated with a chatbot manager. The generic model is generated based on machine learning. A refined model that is associated with the first property is generated based on the generic model and a first plurality of phrases. A first conversation is held between a chatbot and an end user. A determination is made regarding storage of a value of a first property for the end user that is obtained via the chatbot. The refined model is used to dynamically ask questions to the end user to determine a value of the first property for the end user.

Abstract: In an aspect, a method of wireless communication performed by a user equipment (UE) includes receiving a positioning model codepoint (PMC) index of a plurality of PMC indexes, wherein each PMC index of the plurality of PMC indexes is mapped to a corresponding positioning model of at least a subset of a plurality of positioning models configured at the UE; and applying a positioning model, mapped to the PMC index, to one or more RFFP positioning measurements to obtain one or more position parameters corresponding to a location of the UE during a positioning session.

Abstract: A communication system for an operation of an HVAC unit for a target space includes a thermostat, a communication hub, and a relay. The communication hub is configured to receive a user desired set point value from a remote control device and transmit the user desired set point value to the thermostat. The user desired set point value is for an operation of the HVAC unit. The relay includes a shielding unit and a transmitter. The shielding unit is configured to block a signal from the remote control device to reach the HVAC unit. The signal blocked by the shielding unit includes the user desired set point value. The thermostat is configured to receive the user desired set point value, adjust the user desired set point value based on measured temperature and/or humidity for the target space, and transmit the adjusted user desired set point value to the communication hub.

Abstract: Disclosed herein are embodiments of a wide bandwidth attenuator circuit having a tunable gain and tunable input impedance. In some embodiments, the wideband attenuator circuit comprises a serial capacitor shunted to ground by a plurality of circuit slices that are connected in parallel and switchably coupled to the output node of the attenuator. Each circuit slice has a tunable resistor that can be set to a conductive state (“enabled”) or a high impedance state (“disabled”) The number of enabled circuit slices that are connected in parallel may be used to program the attenuator gain and the attenuator impedance.

Abstract: In an aspect, a method of wireless communication performed by a user equipment (UE) includes receiving first assistance data indicating a first set of network devices, wherein the first assistance data indicates that the first set of network device are to be used for obtaining radio frequency fingerprint positioning (RFFP) measurements during a model monitoring occasion in which performance of a positioning model is to be monitored; receiving second assistance data indicating a second set of network devices for obtaining a second set of RFFP measurements during a positioning occasion in which the performance of the positioning model is not monitored; and measuring position reference signals (PRS) of the first set of network devices during the model monitoring occasion.

Abstract: In an aspect, a UE may transmit one or more reference signals. The UE may obtain one or more self-radio frequency fingerprint (self-RFFP) measurements based on reflections of the one or more reference signals transmitted by the UE. The UE may determine a location of the UE based on applying a machine learning model to the one or more self-RFFP measurements.

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: Acidizing a sandstone formation in Earth crust, including pumping ammonium salts (an ammonium salt not having fluoride and an ammonium salt having fluoride) and nitrite salt through a wellbore into a sandstone formation, pumping an acid through the wellbore into the sandstone formation, generating heat, nitrogen gas, and hydrofluoric acid from reaction of the ammonium salts with the nitrite salt and the acid in the sandstone formation, and acidizing the sandstone formation with the hydrofluoric acid.

Abstract: Disclosed are techniques for UE-based wireless positioning. In an aspect, a user equipment (UE) may acquire, from a first set of transmission/reception entities (TREs), a first set of measurements of signals. The UE may select, from the first set of TREs, a second set of TREs, based on criteria for selecting and/or prioritizing TREs for radio frequency fingerprint (RFFP)-based positioning. The UE may acquire, from the second set of TREs, a second set of measurements, the second set of measurements comprising RFFP measurements. The UE may estimate a position of the UE based on the second set of measurements. In an aspect, the UE may input the second set of measurements into a trained machine learning (ML) model that outputs an estimated position of the UE. In an aspect, the UE receives the selection/prioritization criteria and/or the trained ML model from a network node.

Abstract: In an aspect, a network entity may receive, from a target device, one or more self-radio frequency fingerprint (self-RFFP) measurements obtained by the target device based on reflections of one or more reference signals transmitted by the target device. The wireless device may determine a location of the target device based on applying a machine learning model to the one or more self-RFFP measurements.

Abstract: Disclosed are techniques for training a position estimation module. In an aspect, a first network entity obtains a plurality of positioning measurements, obtains a plurality of positions of one or more user equipments (UEs), the plurality of positions determined based on the plurality of positioning measurements, stores the plurality of positioning measurements as a plurality of features and the plurality of positions as a plurality of labels corresponding to the plurality of features, and trains the position estimation module with the plurality of features and the plurality of labels to determine a position of a UE from positioning measurements taken by the UE.

Abstract: Techniques for line-of-sight (LOS) probability map signaling are disclosed. The techniques can include receiving a positioning signal via a wireless link between the UE and a transmission/reception point (TRP) of a radio access network (RAN), identifying an LOS probability function associated with the wireless link based on LOS probability map information provided by a location management function (LMF) of a core network for the RAN, and generating an LOS probability estimate for the wireless link using the LOS probability function.

Abstract: Aspects described herein relate to adapting one of a parameter for transmitting a signal as a narrow beam in a wireless network or a corresponding threshold based on an operating bandwidth. A node can determine whether a condition is met for narrow beam channel access based on the bandwidth-adjusted (or bandwidth-specific) parameter or threshold.

Abstract: A continuous time linear equalizer (CTLE) includes a first circuit path having a step response that increases from an first initial value to a steady state value higher than the first initial value. The CTLE also includes a second circuit path in parallel with the first circuit path, the second circuit path having a step response that increases from a second initial value to a peak and subsequently falls to second steady state value that is approximately equal to the second initial value. The CTLE is configured to combine an output of the first circuit path and an output of the second circuit path.

Abstract: Disclosed are techniques for training a machine learning model. In an aspect, a user equipment (UE) receives, from a network entity, one or more selection criteria for determining whether the UE is to participate in training the machine learning model, determines whether the UE satisfies the one or more selection criteria during a first period of time, and transmits, to the network entity, after a second period of time, updated parameters for the machine learning model, wherein the machine learning model is updated during the second period of time based on a determination that the UE satisfies the one or more selection criteria.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for channel occupancy sharing conditions for beam-based channel access. In some aspects, one or more wireless devices may support a beam-based channel access procedure according to which a first wireless device may share a channel occupancy time (COT) of a second wireless device without performing a listen-before-talk (LBT) procedure if one or more conditions associated with a transmission from the first wireless device are satisfied. Such conditions may be associated with whether a directional beam used by the first wireless device satisfies a narrow beam condition, a time gap between a transmission from the second wireless device and a transmission from the first wireless device, or a duration of a continuous transmission from the first wireless device, or any combination thereof.

Abstract: A splint for use on a forearm, a wrist, and a hand of a user, including a rigid shell assembly with dorsal and a volar shell bodies, the dorsal and volar shell bodies each including a forearm portion, a wrist portion, and a hand portion. The dorsal and volar shell bodies are configured to releasably receive the forearm, wrist, and hand of the user therebetween. A dorsal compressible assembly and a volar compressible assembly extend along the inner surfaces of the dorsal and volar shell bodies, respectively. The volar compressible assembly includes an inflatable forearm bladder, an inflatable wrist bladder, and an inflatable hand bladder, each of which includes a valve to allow each of the inflatable bladders to be inflated independently of the other inflatable bladders.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) may obtain a first set of position estimates of the UE based on applying a first positioning model to one or more radio frequency fingerprint positioning (RFFP) measurements. The UE may obtain a second set of position estimates of the UE using a positioning technique that does not use the first positioning model. The UE may transmit a mismatch report, wherein the mismatch report is based on comparing the first set of position estimates with the second set of position estimates.

Abstract: The disclosed technology is generally directed to chatbot conversation management. In one example of the technology, a generic model associated with a first property associated with a chatbot manager is received. The generic model is generated based on machine learning. A refined model that is associated with the first property is generated based on the generic model and a first plurality of phrases. A first conversation is held between a chatbot and an end user. Upon determining that the value of the first property for the end user is not stored in the database, via the chatbot, during the first conversation, the refined model is used to dynamically ask questions to the end user to determine a value of the first property for the end user. In a second conversation between the chatbot and the end user, the value of the first property for the end user is referenced.

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.