Techniques for dynamic configuration of channel state information (CSI) processing units are disclosed. In an example, a user equipment (UE) may determine an operational state of the UE. The UE may also identify a number of channel state information (CSI) processing units that are supported by the UE for calculating and reporting one or more CSI reports based on the operational state of the UE. The UE may also transmit, to a base station, a notification indicating the number of CSI processing units.

A device associated with a home network may receive an access point name (APN) request from a device associated with a visitor network, wherein the APN request is associated with a user device. The device associated with the home network may cause, based on the APN request, a virtual home network to be instantiated that includes a virtual gateway, wherein the virtual home network is physically closer to the user device than the home network. The device associated with the home network may generate an APN that identifies the virtual home network and the virtual gateway. The device associated with the home network may cause the APN to be sent to the device associated with the visitor network to cause a gateway associated with the visitor network to connect to the virtual gateway.

Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for communicating capability information (e.g., regarding neural network blocks supported by a user equipment (UE) and a base station). A base station may configure one or more neural network block parameters, and may transmit the neural network block parameters to the UE. The UE may configure or reconfigure a neural network block according to the neural network block parameters, and may process one or more signals, e.g., baseband signals, generated by the UE using the neural network block and the neural network block parameters.

A small cell for automatic configuration of an operational parameter includes at least one processor configured to determine a provisioned list of operational parameters. The at least one processor is also configured to sort the provisioned list into a sorted list. The at least one processor is also configured to select the operational parameter from the sorted list based on a BC ID for the small cell, a sector ID for a sector implemented by the small cell, or some combination.

Methods and systems for primary signal detection via distributed machine learning coordinated across multiple user equipment devices are disclosed. In an example method, In an example method, a first user equipment (UE) device, located in a predefined area, is caused to determine a first machine learning model configured to detect an anomaly in an RF environment associated with the area. The controller receives the first machine learning model from the first UE device. The controller sends the first machine learning model to a second UE device located in the area. The controller receives anomaly data indicative of an anomaly detected by the second UE device via the first machine learning model. The controller may optionally determine that a primary signal is present in an RF environment associated with the area based on the anomaly data.

A wireless User Equipment (UE) controls a wireless data service that is received from a wireless communication network over a radio band. In the wireless UE, a radio wirelessly exchanges user data with the communication network over the radio band to receive the wireless data service. The radio wirelessly receives a communication performance metric from the wireless communication network over the radio band. The communication performance metric characterizes the wireless data service received by the wireless UE over the radio band. In the wireless UE, user circuitry translates the communication performance metric into a service instruction for the wireless UE over the radio band. The radio wirelessly transfers the service instruction for the wireless UE to the wireless communication network over the radio band. The wireless communication network modifies the wireless data service for the wireless UE responsive to the service instruction.

A device determines, from a network slice template associated with a network slice, a quality of service (QoS) profile for the network slice that includes performance metrics for corresponding QoS parameters associated with providing a service. The device monitors performance of the network slice in association with the QoS profile, and determines, based on the performance, that a performance indicator for a QoS parameter of the network slice is outside a threshold range of a performance metric. The device determines, based on the performance information and the QoS profile, a slice modification to the network slice template for the network slice, where the slice modification is configured to cause the performance indicator to be within the threshold range of the performance metric. The device causes a network slice orchestrator to update an instantiation of the network slice according to the slice modification and the network slice template.

A device determines, from a network slice template associated with a network slice, a quality of service (QoS) profile for the network slice that includes performance metrics for corresponding QoS parameters associated with providing a service. The device monitors performance of the network slice in association with the QoS profile, and determines, based on the performance, that a performance indicator for a QoS parameter of the network slice is outside a threshold range of a performance metric. The device determines, based on the performance information and the QoS profile, a slice modification to the network slice template for the network slice, where the slice modification is configured to cause the performance indicator to be within the threshold range of the performance metric. The device causes a network slice orchestrator to update an instantiation of the network slice according to the slice modification and the network slice template.

Techniques for establishing a bidirectional wireless communication link between two otherwise detachable devices when these devices are physically joined together for use as a physically joined device are provided. An example method includes receiving by a mobile computing device a short-range wireless signal from an RFID reader device; monitoring, by the mobile computing device, an RSSI associated with the signal from the RFID reader device; and establishing, by the mobile computing device, a wireless communication connection to the RFID reader device based on the measured RSSI associated with the signal from the RFID reader device being greater than a threshold RSSI value, wherein the threshold RSSI value is calibrated based on an RSSI value associated with the short-range wireless signal from the RFID reader device measured by the mobile computing device when the mobile computing device is physically joined to RFID reader device for use as a joined device.

A method, performed by a server, of executing a software package in a wireless communication system includes: obtaining package usage information for each of a plurality of software packages with respect to user equipment's (UEs) accessing a plurality of base stations (BSs) connected to the server; determining a first hardware component (HC) set, including a plurality of HCs, for processing tasks operating in a first software package from among the plurality of software packages, based on the package usage information including a use for each of the plurality of HCs included in the first HC set and a respective usage amount for the plurality of HCs; generating a second software package that is allocated to the first HC set; migrating the tasks operating in the first software package to the second software package; and deleting the first software package.