Abstract: This disclosure provides methods, components, devices, and systems for wireless communication. Some aspects more specifically relate to dynamic path selection for wireless connectivity. An access point (AP) may receive communication link information and device status information from cellular-enabled devices in a wireless local area network (WLAN). The communication link information may indicate path metrics (such as link quality information) associated with respective connections between the cellular-enabled devices and a communication network (such as the Internet). The device status information may indicate operational metrics associated with the cellular-enabled devices (such as battery status information or cellular subscription information).

Abstract: Aspects presented herein may enable a passive positioning system, which may be a network entity or node, to be trained to identify multiple moving objects based on using training data for a single object. In one aspect, a network entity receives first RF channel data recorded by a set of devices for a coverage area during a first time period. The network entity trains an ML model based on the set of devices and the first RF channel data. The network entity receives second RF channel data recorded by the set of devices at a second time instance that is outside of the first time period. The network entity computes a number of moving objects in the coverage area at the second time instance based on the second RF channel data using the ML model.

Abstract: Disclosed are systems, methods, and non-transitory media for performing passive radio frequency (RF) location detection operations. In some aspects, RF data, such as RF signals including channel state information (CSI), can be received from a wireless device. The RF data can be provided to a self-supervised machine-learning architecture that is configured to perform object location estimation.

Abstract: This disclosure describes systems, devices, apparatus, and methods, including computer programs encoded on storage media, for controlling a network with one or more access points (APs). A controller may be configured to schedule at least some resources of the one or more APs to improve network efficiency. The APs may measure and report a variety of information and statistics to the controller. The controller may determine one or more transmission parameters and one or more operations a given AP is permitted to perform during a respective time interval. The controller may communicate the one or more transmission parameters using an indication, such as a message. At least one AP associated with the controller may communicate with stations (STAs) using the one or more transmission parameters.

Abstract: This disclosure describes systems, devices, apparatus, and methods, including computer programs encoded on storage media, for controlling a network with one or more access points (APs). A controller may be configured to schedule at least some resources of the one or more APs to improve network efficiency. The APs may measure and report a variety of information and statistics to the controller. The controller may determine one or more transmission parameters and one or more operations a given AP is permitted to perform during a respective time interval. The controller may communicate the one or more transmission parameters using an indication, such as a message. At least one AP associated with the controller may communicate with stations (STAs) using the one or more transmission parameters.

Abstract: Disclosed are systems, methods, and non-transitory media for performing radio frequency sensing detection operations. For instance, radio frequency data can be received that is associated with at least one wireless device. The radio frequency data can be based on radio frequency signals reflected from a first object and received by the at least one wireless device. Training label data can also be obtained (e.g., from a labeling device, from the at least one wireless device, etc.). The training label data can be based at least in part on the first object and input data (e.g., received by the labeling device, the at least one wireless device, etc.). A sensing model can be generated based on the radio frequency data and the training label data.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for onboarding one or more Multi-AP devices using a device provisioning protocol (DPP) and a Multi-AP communication protocol. In one aspect, a first Multi-AP device may determine, during an onboarding process, DPP configuration information that was derived using the DPP. The first Multi-AP device may establish a Multi-AP network configuration between the first Multi-AP device and a second Multi-AP device using the Multi-AP communication protocol based, at least in part, on the DPP configuration information. In one aspect, the DPP configuration information may be derived remotely by the network operator prior to device deployment. In one aspect, a configurator station (STA) may be delegated as the DPP configurator by the network operator, and may onboard one or more STAs into the Multi-AP network using the DPP and the Multi-AP communication protocol.

Abstract: Disclosed are systems, methods, and non-transitory media for sensing radio frequency signals. For instance, radio frequency data can be received by an apparatus and from at least one wireless device in an environment. Based on the radio frequency data received from the at least one wireless device, the apparatus can determine sensing coverage of the at least one wireless device. The apparatus can further provide the determined sensing coverage and a position of at least one device to a user device.

Abstract: Certain aspects of the present disclosure provide techniques for training and inferencing with machine learning localization models. In one aspect, a method, includes training a machine learning model based on input data for performing localization of an object in a target space, including: determining parameters of a neural network configured to map samples in an input space based on the input data to samples in an intrinsic space; and determining parameters of a coupling matrix configured to transport the samples in the intrinsic space to the target space.

Abstract: Disclosed are systems, methods, and non-transitory media for performing passive radio frequency (RF) location detection operations. In some aspects, RF data, such as RF signals including channel state information (CSI), can be received from a wireless device. The RF data can be provided to a self-supervised machine-learning architecture that is configured to perform object location estimation.

Abstract: Disclosed are systems, methods, and non-transitory media for sensing radio frequency signals. For instance, radio frequency data can be received by an apparatus and from at least one wireless device in an environment. Based on the radio frequency data received from the at least one wireless device, the apparatus can determine sensing coverage of the at least one wireless device. The apparatus can further provide the determined sensing coverage and a position of at least one device to a user device.

Abstract: Disclosed are systems, methods, and non-transitory media for performing radio frequency sensing detection operations. For instance, radio frequency data can be received that is associated with at least one wireless device. The radio frequency data can be based on radio frequency signals reflected from a first object and received by the at least one wireless device. Training label data can also be obtained (e.g., from a labeling device, from the at least one wireless device, etc.). The training label data can be based at least in part on the first object and input data (e.g., received by the labeling device, the at least one wireless device, etc.). A sensing model can be generated based on the radio frequency data and the training label data.

Abstract: This disclosure describes systems, devices, apparatus, and methods, including computer programs encoded on storage media, for controlling a network with one or more access points (APs). A controller may be configured to schedule at least some resources of the one or more APs to improve network efficiency. The APs may measure and report a variety of information and statistics to the controller. The controller may determine one or more transmission parameters and one or more operations a given AP is permitted to perform during a respective time interval. The controller may communicate the one or more transmission parameters using an indication, such as a message. At least one AP associated with the controller may communicate with stations (STAs) using the one or more transmission parameters.

Abstract: Certain aspects relate to methods and apparatus for traffic separation in a multi AP (MAP) network. In some cases, a MAP Controller may configure sets of SSIDs to a single VLAN ID in a Traffic Separation Policy and distribute the Traffic Separation Policy information to the MAP Agents.

Abstract: This disclosure describes systems, devices, apparatus, and methods, including computer programs encoded on storage media, for controlling a network with one or more access points (APs). A controller may be configured to schedule at least some resources of the one or more APs to improve network efficiency. The APs may measure and report a variety of information and statistics to the controller. The controller may determine one or more transmission parameters and one or more operations a given AP is permitted to perform during a respective time interval. The controller may communicate the one or more transmission parameters using an indication, such as a message. At least one AP associated with the controller may communicate with stations (STAs) using the one or more transmission parameters.

Abstract: Certain aspects relate to methods and apparatus for traffic flow service prioritization in a multi AP (MAP) network.

Abstract: Certain aspects relate to methods and apparatus for traffic separation in a multi AP (MAP) network. In some cases, a MAP Controller may configure sets of SSIDs to a single VLAN ID in a Traffic Separation Policy and distribute the Traffic Separation Policy information to the MAP Agents.

Abstract: Certain aspects relate to methods and apparatus for traffic separation in a multi AP (MAP) network. In some cases, a MAP Controller may configure sets of SSIDs to a single VLAN ID in a Traffic Separation Policy and distribute the Traffic Separation Policy information to the MAP Agents.

Abstract: This disclosure describes systems, devices, apparatus, and methods, including computer programs encoded on storage media, for controlling a network with one or more access points (APs). A controller may be configured to schedule at least some resources of the one or more APs to improve network efficiency. The APs may measure and report a variety of information and statistics to the controller. The controller may determine one or more transmission parameters and one or more operations a given AP is permitted to perform during a respective time interval. The controller may communicate the one or more transmission parameters using an indication, such as a message. At least one AP associated with the controller may communicate with stations (STAs) using the one or more transmission parameters.

Abstract: Certain aspects relate to methods and apparatus for traffic flow service prioritization in a multi AP (MAP) network.