Abstract: Systems and techniques are provided for wireless communication. For example, a process can include determining to configure an energy harvesting device for frequency hopping based on detected signals of one or more other wireless systems; transmitting a wake-up signal, the wake-up signal including an indication for frequency hopping; receiving a first response from a first energy harvesting device on a first frequency channel; and receiving a second response from a second energy harvesting device on a second frequency channel.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first controller device may receive a connection request from a user equipment (UE). The first controller device may transmit, to a central device, a connection message that indicates a connection or a potential connection between the first controller device and the UE. The first controller device may receive a first handover message from the central device. The first controller device may perform a first handover of the UE to a second controller device based at least in part on the first handover message. Numerous other aspects are described.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for a training and using machine learning models in multi-device network environments. An example computer-implemented method for network communications performed by a host device includes extracting a feature set from a data set associated with a client device using a client-device-specific feature extractor, wherein the feature set comprises a subset of features in a common feature space, training a task-specific model based on the extracted feature set and one or more other feature sets associated with other client devices, wherein the feature sets associated with the other client devices comprise one or more subsets of features in the common feature space, and deploying, to each respective client device of a plurality of client devices, a respective version of the task-specific model.

Abstract: receiving, by a control system, client device information from one or more client devices and transmitting, by the control system, sensor data request information to the one or more client devices. The client device information may indicate at least client device type information and client device sensor information. The sensor data request information may indicate one or more requested sensor data types and one or more requested sensor data transmission parameters. The one or more requested sensor data transmission parameters may indicate one or more threshold parameters for requested sensor data transmission, one or more variance parameters for requested sensor data transmission, or a combination thereof. Some examples may involve receiving, by the control system, sensor data from the one or more client devices based, at least in part, on the one or more requested sensor data transmission parameters.

Abstract: Systems and techniques are provided for processing audio data. For instance, a process can include obtaining a primary audio signal from a user computing device and obtaining first audio data from an additional computing device, wherein the additional computing device is within an auditory range of the user computing device. The primary audio signal can be filtered to generate a filtered primary audio signal. The filtering can include removing a representation of the first audio data from the primary audio signal. The filtered primary audio signal can be output to a network-based meeting.

Abstract: Systems and techniques are provided for wireless communication. For example, a process can include measuring a signal strength of a first advertisement beacon from a second device of a second wireless system; comparing the signal strength of the first advertisement beacon to a threshold signal strength; determining a delay period for the second wireless system based on the comparison of the signal strength of the first advertisement beacon to a threshold signal strength; and outputting a second advertisement beacon for transmission based on the determined delay period.

Abstract: Systems and techniques are provided for wireless communication. For example, a process can include determining to configure an energy harvesting device for frequency hopping based on detected signals of one or more other wireless systems; transmitting a wake-up signal, the wake-up signal including an indication for frequency hopping; receiving a first response from a first energy harvesting device on a first frequency channel; and receiving a second response from a second energy harvesting device on a second frequency channel.

Abstract: To improve the probability of receiving a link layer block, a block retransmission repetition scheme may be utilized. Block retransmission repetition may enable link layer blocks to be included more than once in a retransmission, thereby increasing the probability that the retransmitted link layer block can be successfully received. In some approaches, a quantity of retransmissions of a link layer block may be determined without explicitly signaling the quantity of retransmissions. For instance, a wireless device may determine the quantity of retransmissions based on a quantity of negative acknowledgments and a limit on link layer blocks associated with the payload. Determining the quantity of retransmissions without explicitly signaling the quantity may avoid consuming bits in a packet header for explicitly indicating the quantity, thereby reducing complexity or reducing the time taken over the air for the additional bits in the packet header.

Abstract: Various aspects include methods for supporting context broadcast networking by a device. Aspects provide a cross ecosystem platform that enable seamless user experiences from device centric and fragmented user experiences. Some aspects may include decrypting a broadcast message received from a radio controller if the received broadcast message indicates an account identity value matching a pre-calculated account identity value and is not a duplicate, generating data elements from the decrypted broadcast message, storing the data elements in a data cache; and signaling an interrupt indicating that the data elements are available. Further aspects include a radio controller receiving a first scan interval from a primary host and a second scan interval from a secondary host of the device; scheduling primary host scan windows based on the first scan interval, and cancelling any secondary host second scan windows overlapping any of the scheduled primary host first scan windows.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a central device may transmit a first communication to initiate a first communication event. The central device may transmit a first synchronization message associated with a first peripheral device and a second synchronization message associated with a second peripheral device during a first time resource and a second time resource, respectively, associated with a first communication event. The central device may transmit a second communication to initiate a second communication event. The central device may monitor, during the second communication event, for a first response from the first peripheral device during a third time resource, and for a second response from the second peripheral device during a fourth time resource. Numerous other aspects are described.

Abstract: A device includes a memory configured to store instructions and one or more processors configured to execute the instructions to receive a media packet and to determine, based on a field of the media packet, whether the media packet includes motion data. The one or more processors are also configured to execute the instructions to, based on the media packet including motion data, extract the motion data from the media packet.

Abstract: A device includes a memory configured to store instructions and one or more processors configured to execute the instructions to receive a media packet and to determine, based on a field of the media packet, whether the media packet includes motion data. The one or more processors are also configured to execute the instructions to, based on the media packet including motion data, extract the motion data from the media packet.

Abstract: A device includes a memory configured to store instructions and one or more processors configured to execute the instructions. The one or more processors are configured to execute the instructions to obtain link data corresponding to a communication link to a second device. The one or more processors are configured to execute the instructions to select, at least partially based on the link data, between an ambisonics mode and a stereo mode.

Abstract: This disclosure provides methods, components, devices and systems for managing a group of Wi-Fi-enabled wearable or handheld wireless devices using a shared address. Some aspects more specifically relate to a negotiation of a shared address that corresponds to a group of Wi-Fi-enabled wearable or handheld devices and use of the shared address during a connection setup procedure for the group. In some implementations, by performing the connection setup procedure using the shared address, one wearable or handheld device may perform the connection setup procedure on behalf of the group. Wearable or handheld devices of the group also may exchange packets to indicate, with respect to the shared address, respective link identifiers (IDs) uniquely corresponding to each respective wearable or handheld device of the group, which the wearable or handheld devices of the group may use to differentiate traffic intended for different wearable or handheld devices of the group.

Abstract: receiving, by a control system, client device information from one or more client devices and transmitting, by the control system, sensor data request information to the one or more client devices. The client device information may indicate at least client device type information and client device sensor information. The sensor data request information may indicate one or more requested sensor data types and one or more requested sensor data transmission parameters. The one or more requested sensor data transmission parameters may indicate one or more threshold parameters for requested sensor data transmission, one or more variance parameters for requested sensor data transmission, or a combination thereof. Some examples may involve receiving, by the control system, sensor data from the one or more client devices based, at least in part, on the one or more requested sensor data transmission parameters.

Abstract: Methods, systems, and devices for wireless communications are described. Techniques described herein provide for extending the range of a personal audio device connected to a personal wireless communication device via enabling the personal audio device to connect to and communicate with the personal wireless communication device via an access point (AP). An AP may have a larger range than a personal wireless communication device, and accordingly, an AP may be used to stream audio or voice calls to the personal audio device when the direct link quality between the personal audio device and the personal wireless communication device is below a threshold. To reduce latency and packet loss associated with transitions between communicating with the personal wireless communication device directly and via the AP or transitions between multiple APs, the personal audio device may be configured to establish a new wireless communication connection before breaking a current wireless communication connection.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a central device may transmit a first communication to initiate a first communication event. The central device may transmit a first synchronization message associated with a first peripheral device and a second synchronization message associated with a second peripheral device during a first time resource and a second time resource, respectively, associated with a first communication event. The central device may transmit a second communication to initiate a second communication event. The central device may monitor, during the second communication event, for a first response from the first peripheral device during a third time resource, and for a second response from the second peripheral device during a fourth time resource. Numerous other aspects are described.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. Voice data from a first user is received. In response to determining that the voice data includes an utterance of a defined keyword, a user verification score is generated by processing the voice data using a first user verification machine learning (ML) model, and a quality of the voice data is determined. In response to determining that the user verification score and determined quality satisfy one or more defined criteria, a second user verification ML model is updated based on the voice data.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for a training and using machine learning models in multi-device network environments. An example computer-implemented method for network communications performed by a host device includes extracting a feature set from a data set associated with a client device using a client-device-specific feature extractor, wherein the feature set comprises a subset of features in a common feature space, training a task-specific model based on the extracted feature set and one or more other feature sets associated with other client devices, wherein the feature sets associated with the other client devices comprise one or more subsets of features in the common feature space, and deploying, to each respective client device of a plurality of client devices, a respective version of the task-specific model.

Abstract: Systems and techniques are provided for processing audio data. For instance, a process can include detecting a first audio data between two or more in-person participants of a plurality of in-person participants of a group communication session. The first audio data can be identified as private based on one or more cues associated with the first audio data. A second audio data can be identified between the two or more in-person participants. The second audio data can be identified as non-private based on one or more additional cues associated with the second audio data, wherein the one or more additional cues associated with the second audio data are different from the one or more cues associated with the first audio data. The second audio data can be output based on identifying the second audio data as non-private.