Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may measure quality of experience (QoE) metrics and transmit a QoE report that is formatted to be readable by a base station, such that a base station may receive the QoE report and independently perform adjustments associated with the service being utilized by the UE. A UE may receive a configuration message that includes a first configuration for reporting QoE measurements to a base station and a second configuration for reporting QoE measurements to a QoE server. The UE may measure one or more QoE metrics in accordance with the configuration message, and generate a first report for the base station based on the QoE measurements and the first configuration. Upon generating the report, the UE may transmit the first report to the base station in accordance with the first configuration.

Abstract: Methods, systems, and devices for wireless communications are described. The method may include a user equipment (UE) may receive a control signal indicating an event trigger for reporting a performance parameter associated with a machine learning model. Further, the UE may receive one or more signals indicating input data for monitoring a performance of the machine learning model by the UE. Upon detecting the event trigger, the UE may transmit a report comprising the performance parameter.

Abstract: Methods, systems, and devices for wireless communications are described. A server (e.g., a network entity, a model repository) may select user equipment (UEs) to participate in a federated learning procedure for training a predictive model. Based on selecting the UEs, the server may determine a set of training parameters for a training configuration for the federated learning procedure. The server may transmit an indication of the training configuration to the UEs. The server may activate the federated learning procedure by transmitting an activation indication to the UEs. Each UE may locally train the predictive model according to the training configuration, and may report the model parameters to the server. The server may aggregate the reported model parameters into an updated model parameter set. The server may assign an updated parameter set identifier (PS ID) to the updated model parameter set and may inform the UEs of the updated PS ID.

Abstract: A computer implemented system provides clients with communicating and/or transacting with merchants by way of mobile applications. The system creates a virtual machine associated with a client and the client can download mobile applications provided by merchants on this virtual machine. The system creates ghost icons and ghost image input commands associated with the mobile applications and displayed via the mobile device. The client can enter inputs via the ghost image input commands and receive outputs via the mobile device without downloading the mobile applications onto their mobile device memory. The system displays a ghost icon of a mobile application via the mobile device when the mobile device is within a predetermined proximity level of a commercial location associated with a merchant controller system comprising this mobile application. When the mobile device is outside this predetermined proximity level, the system does not display the ghost icon.

Abstract: A pocket integration for high density memory and logic applications and methods of fabrication are described. While various examples are described with reference to FeRAM, capacitive structures formed herein can be used for any application where a capacitor is desired. For instance, the capacitive structure can be used for fabricating ferroelectric based or paraelectric based majority gate, minority gate, and/or threshold gate.

Abstract: Methods, systems, and devices for wireless communications are described. A communication link between the UE and a serving base station may be established. The UE may measure, at an application layer of the UE, a set of quality of experience variables associated with different service types. The UE may measure, at an access stratum of the UE, a set of radio resource management variables associated with the communication link between the UE and the serving base station and a communication link between the UE and a corresponding set of one or more neighboring base stations associated with the communication links. The UE may transmit a measurement report to the serving base station indicating information associated with the quality of experience variables and the radio resource management variables in a multi-layer readable format.

Abstract: Aspects described herein relate to improving layer 1 (L1)/layer 2 (L2) mobility in certain scenarios. In some aspects, an indication of mobility from a first cell in a candidate cell set configured for L1/L2 mobility to a second cell can be received, and one or more parameters related to mobility failure or mobility history or radio link failure (RLF) associated with the mobility to assist the network node in at least one of performing a subsequent L1/L2 mobility for the UE or avoiding RLF or mobility failure during the subsequent L1/L2 mobility can be transmitted. In other aspects, the indication of mobility can be transmitted and the one or more parameters can be received. In some aspects, a list of conditional primary secondary cell (PSCell) change (CPC) configurations can be communicated following a PCell switch.

Abstract: Approaches for integrating FE memory arrays into a processor, and the resulting structures are described. Simultaneous integrations of regions with ferroelectric (FE) cells and regions with standard interconnects are also described. FE cells include FE capacitors that include a FE stack of layers, which is encapsulated with a protection material. The protection material protects the FE stack of layers as structures for regular logic are fabricated in the same die.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may obtain generalization information associated with a model, a model structure (MS), or a parameter set (PS) associated with the model. The UE may initiate a connection to a network node. The UE may filter the model, the MS, or the PS based at least in part on the generalization information. The UE may transmit UE capability information to the network node, based at least in part on filtering the model, the MS or the PS, that indicates whether the model, the MS, or the PS is applicable, available, or supported by the UE. Numerous other aspects are described.

Abstract: A method of wireless communication includes determining, based on a plurality of network measurements performed by a user equipment (UE), one or more measurement log files associated with the plurality of network measurements. The method further includes receiving, by the UE from a network device, a request associated with the one or more measurement log files. The request indicates at least one measurement filter. The method further includes transmitting, by the UE to the network device, a response to the request. The response includes first measurement results of the one or more measurement log files selected based on the at least one measurement filter and excludes second measurement results of the one or more measurement log files based on the at least one measurement filter.

Abstract: Methods, systems, and devices for wireless communication are described in which an access point (AP) may advertise Internet connection quality information in a beacon transmission or probe request. The AP may measure one or more metrics associated with Internet access, and provide an indication of the metrics in an information element transmitted to one or more stations (STAs). In some examples, an Internet connection quality information element may include one or more fields associated with connection metrics, such as Internet reachability, link latency, available uplink bandwidth, and available downlink bandwidth. STAs may look for the Internet connection quality information element and may decide whether to connect to an AP based on the indicated metrics.

Abstract: Automated techniques for converting network devices from a Layer 2 (L2) network into a Layer 3 (L3) network in a hierarchical manner are described herein. The network devices may be configured to boot such that their ports are in an initialization mode in which the ports are unable to transmit locally generated DHCP packets. When a network device detects that a neighbor (or “peer”) device has acquired an IP address or has been configured by a network controller, then the port on which the neighbor device is detected can then be transitioned from the initialization mode into a forwarding mode. In the forwarding mode, the port can be used to transmit packets to obtain an IP address. Thus, the network devices are converted from an L2 device to an L3 device in a hierarchical order such that upstream devices are discovered and converted into L3 devices before downstream devices.

Abstract: A class of complex logic gates are presented that use non-linear polar material. The logic gates include multi-input majority gates. At least one input to an individual multi-input majority gate is a fixed input. Other inputs are driven to non-linear input capacitors on their respective first terminals. The second terminals of the non-linear input capacitors are coupled a summing node, which provides a majority function of the inputs. The summing node is coupled to a CMOS logic. Leakage through the capacitors is configured such that capacitors of a majority gate have substantially equal leakage, and this leakage has a I-V behavior which is symmetric. As such, reset device(s) on the summing node are not used. The non-linear charge response from the non-linear input capacitors results in output voltages close to or at rail-to-rail voltage levels, which reduces the high leakage problem faced from majority gates that use linear input capacitors.

Abstract: A computer-aided design (CAD) tool is provided for logic optimization and synthesis. The CAD tool executes a process that involves optimizing power, performance, and area (PPA) of a logic circuit by minimizing a number of CMOS gates, and majority and/or minority gates in the circuit and its depth. The CAD tool implements a methodology of optimizing logic synthesis based on a mix of standard cell libraries (such as AND, OR, NAND, NOR, XOR, Multiplexer, full adder, half adder, etc.) and varying input majority and minority gates (where the number of inputs in the minority and majority gates could vary as odd numbers from 3 and above). The standard cell libraries cells may contain minority and/or majority gates.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

Abstract: An apparatus can include a door control mechanism that defines a cavity. The door control mechanism can include an actuator body comprising a contact surface. The door control mechanism can include a projection that extends from the actuator body into the cavity. The apparatus can include a spacer to be disposed in the cavity. The spacer can include a spacer body, a first stopper, and a second stopper. The first stopper can extend from the spacer body. The first stopper can interface with the contact surface of the actuator body. The second stopper can extend from a surface of the spacer body. The second stopper can interface with the projection of the door control mechanism. At least one of the first stopper and the second stopper can prevent the door control mechanism from actuating in response to a manual force.

Abstract: Example implementations include a method, apparatus and computer-readable medium of wireless communication by a user equipment (UE), comprising receiving parameter set configuration information from a network entity, the parameter set configuration information corresponding to a model structure employed in a machine learning operation by the UE for the wireless communication. The implementations further include activating a parameter set in response to an activation condition, the parameter set identified within the parameter set configuration information as being associated with the activation condition.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may start a timer for obtaining quality of experience (QoE) measurements. The UE may obtain the QoE measurements until the timer expires. The UE may transmit information indicating the QoE measurements. 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 transmit, to a network node, UE capability information associated with at least one machine learning component. The UE may receive, from the network node and based on the UE capability information, configuration information corresponding to the at least one machine learning component. The UE may generate a first machine learning output based on the machine learning component. The UE may perform a communication task based on the first machine learning output. Numerous other aspects are described.

Abstract: Asynchronous circuit elements are described. Asynchronous circuit elements include a consensus element (c-element), completion tree, and validity tree. The c-element is implemented using adjustable threshold based multi-input capacitive circuitries. The completion tree comprises a plurality of c-elements organized in a tree formation. The validity tree comprises OR gates followed by c-elements. The multi-input capacitive circuitries include capacitive structures that may comprise linear dielectric, paraelectric dielectric, or ferroelectric dielectric. The capacitors can be planar or non-planar. The capacitors may be stacked vertically to reduce footprint of the various asynchronous circuitries.