Abstract: The present application relates to devices and components including apparatus, systems, and methods for connections aggregation among related devices for edge computing. Such techniques may include a grouping of related devices as an edge group, and assignment of a proxy device for distribution of edge server discovery information among the edge group.

Abstract: Smart gesturing may facilitate smart shopping and other contactless experiences by enabling a user to perform a natural gesture toward one or more desired items with or while wearing a wearable or non-wearable electronic device. The electronic device may identify the smart gesture, and determine the one or more desired items are indicated by the smart gesture. The electronic device may identify the desired items by receiving location data of multiple items, determining a vector based on a first position a second position of the smart gesture, extending the vector to a location, and using the location data to determine which item or items correspond to the location. If more than one item is indicated by the smart gesture, the electronic device may enable selection of the items and, if at least one item is selected, provide information on the selected items or enable additional interaction with the selected items.

Abstract: A communications network may include a relay device that receives device-to-device (D2D) signals. In an ad hoc mode, the relay may consume relatively little power while receiving relatively few messages from relatively few transmitting devices in the D2D signals. In an organized mode, the device may consume relatively high power while receiving many messages from many transmitting devices in the D2D signals. A receiver on the device may transition from the ad hoc mode to the organized mode in response to a first criterion and may transition from the organized mode to the ad hoc mode in response to a second switching criterion. This may allow the device to balance communications load and power consumption while relaying messages such as emergency messages received over D2D signals given that the signals may arrive rarely or in clusters due to an unforeseen event.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving, from a device, a beacon request; generating a transmission beacon pattern associated with the beacon request; transmitting a plurality of beams according to the transmission beacon pattern; receiving a message that identifies one or more strongest transmission beams of the plurality of beams; generating a reception beacon pattern associated with the beacon request; transmitting the one or more strongest transmission beams according to the reception beacon pattern; and communicating, with the device, using at least one of the one or more strongest transmission beams and a reception beam of the device.

Abstract: The present application relates to devices and components including apparatus, systems, and methods for high-throughput, low-power signaling.

Abstract: A user equipment (UE) or other device performs service discovery of edge computing resources in a cellular network system and dynamic offloading of UE application tasks to discovered edge computing resources. As part of the discovery process, the device (e.g., the UE) may request edge server site capability information. When performing dynamic offloading, the UE may obtain (collect and/or receive) information regarding channel conditions, cellular network parameters or application requirements and dynamically determine whether a task of the application executing on the UE should be offloaded to an edge server or executed locally on the UE. In making decisions between offloaded or local execution, the UE may use a utility function that takes into account factors such as relative differences in application latency, energy consumption and offloading cost.

Abstract: A device includes one or more processors configured to obtain, from one or more sources of global data associated with aircraft traffic, historical data corresponding to historical usage metrics for a particular airport. The one or more processors are configured to process the historical usage metrics to generate a distribution model associated with usage of the particular airport. The one or more processors are configured to obtain, from the one or more sources of global data, data corresponding to current usage metrics for the particular airport. The one or more processors are also configured to determine, based on the distribution model and the current usage metrics for the particular airport, an airport congestion level for the particular airport.

Abstract: A method includes obtaining, at a first device, first output from a transition state model for a dynamic system. The first output indicates a first state of the dynamic system. The method includes obtaining, at the first device, second output from the transition state model. The second output indicates a state transition from the first state to a second state. The method includes retrieving, at the first device, a transition confidence metric associated with the state transition from the first state to the second state from a transition confidence matrix. The method also includes providing, via the first device, the second state as output in response to the transition confidence metric indicating that the state transition is valid.

Abstract: The present application relates to devices and components, including apparatus, systems, and methods for discovering and establishing highly directional wireless communication link through other devices with established highly directional communication link to an access point. Devices with established link to the access point may exchange beam information (BI) or geometry or location indication (GI) between the AP and devices seeking to be connected to the AP. The exchange of BI and GI may expedite link establishment between the AP and devices without connection to the AP.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving, from a remote device, a reference signal for each of one or more synchronization signal blocks (SSBs); responsive to the receiving, selecting a receiver (Rx) beam from a set of candidate receiver (Rx) beams, the selecting being based on a sweep of the candidate Rx beams and on measuring the reference signal with one or more of the candidate Rx beams of the set of the candidate Rx beams; and communicating, using the selected Rx beam, an element of common control signaling (CCS) information to the remote device.

Abstract: A communication device is provided that includes a baseband circuit and a transmitter configured to transmit a first signal and a projected signal. The baseband circuit is configured to determine the projected signal based on an estimated signal state information such that an energy of a shaped projected signal is smaller than an energy of a shaped signal. The estimated signal state information is an estimate of a signal state information based on the first signal and a received signal that is received by a receiver of the second communication device. The shaped projected signal is the projected signal received by the receiver of the second communication device and filtered by a filter of the second communication device. The shaped signal is the received signal filtered by the filter of the second communication device.

Abstract: Methods, systems, apparatuses, and computer programs for offloading computing tasks to one or more computers, e.g., that implement an edge server. In one aspect, the method can include actions of transmitting, for a user equipment and to the one or more computers, uplink information via an air interface; determining whether the uplink information has been fully transmitted across the air interface; based on determining that the uplink information has been fully transmitted across the air interface, triggering a sleep mode for the user equipment and starting a first timer; determining that the first timer has expired; and based on determining that the first timer has expired, triggering (i) a user equipment wake-up operation and (ii) maintaining a second timer that indicates when the user equipment should enter the sleep mode if result data, to be generated using the uplink information, has not been received.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: A method for channel aware semantic coding (CASC) by a user equipment (UE), comprising: determining a quality level for a channel for a time period in which a video frame is being transmitted over the channel; determine, based on the quality level, one or more semantic elements to include in a semantic transcript stream (STS); encode the video frame with the one or more elements of the STS; and transmit the STS to a remote device.

Abstract: A user equipment (UE) or other device performs service discovery of edge computing resources in a cellular network system and dynamic offloading of UE application tasks to discovered edge computing resources. As part of the discovery process, the device (e.g., the UE) may request edge server site capability information. When performing dynamic offloading, the UE may obtain (collect and/or receive) information regarding channel conditions, cellular network parameters or application requirements and dynamically determine whether a task of the application executing on the UE should be offloaded to an edge server or executed locally on the UE. In making decisions between offloaded or local execution, the UE may use a utility function that takes into account factors such as relative differences in application latency, energy consumption and offloading cost.

Abstract: Smart gesturing may facilitate smart shopping and other contactless experiences by enabling a user to perform a natural gesture toward one or more desired items with or while wearing a wearable or non-wearable electronic device. The electronic device may identify the smart gesture, and determine the one or more desired items are indicated by the smart gesture. The electronic device may identify the desired items by receiving location data of multiple items, determining a vector based on a first position a second position of the smart gesture, extending the vector to a location, and using the location data to determine which item or items correspond to the location. If more than one item is indicated by the smart gesture, the electronic device may enable selection of the items and, if at least one item is selected, provide information on the selected items or enable additional interaction with the selected items.

Abstract: A user equipment (UE) or other device performs service discovery of edge computing resources in a cellular network system and dynamic offloading of UE application tasks to discovered edge computing resources. As part of the discovery process, the device (e.g., the UE) may request edge server site capability information. When performing dynamic offloading, the UE may obtain (collect and/or receive) information regarding channel conditions, cellular network parameters or application requirements and dynamically determine whether a task of the application executing on the UE should be offloaded to an edge server or executed locally on the UE. In making decisions between offloaded or local execution, the UE may use a utility function that takes into account factors such as relative differences in application latency, energy consumption and offloading cost.

Abstract: Methods and systems for semantic encoding by a user equipment (UE) are configured for determining an expected power consumption for encoding video data that includes semantic features, the semantic features representing a meaning of information represented in video frames of the video data; encoding one or more video frames of the video data using a selected a semantic representation of one or more video frames of the video data, the semantic representation being selected based on the expected power consumption that is determined; and transmitting the encoded video data including the semantic representation.

Abstract: Smart gesturing may facilitate smart shopping and other contactless experiences by enabling a user to perform a natural gesture toward one or more desired items with or while wearing a wearable or non-wearable electronic device. The electronic device may identify the smart gesture, and determine the one or more desired items are indicated by the smart gesture. The electronic device may identify the desired items by receiving location data of multiple items, determining a vector based on a first position a second position of the smart gesture, extending the vector to a location, and using the location data to determine which item or items correspond to the location. If more than one item is indicated by the smart gesture, the electronic device may enable selection of the items and, if at least one item is selected, provide information on the selected items or enable additional interaction with the selected items.

Abstract: A primary device may run a software application requiring a compute task. The primary device may receive statistics from a set of secondary devices over wireless communication links. The primary device may process the statistics to determine whether the compute task will be offloaded to the secondary devices or performed locally. The primary device may generate a distribution scheme for the secondary devices based on the statistics. This may involve modeling first delays associated with transmission of signals from the primary device to the secondary devices, second delays associated with transmission of compute results from the secondary devices to the primary device, and third delays associated with processing resources of the secondary devices. The optimized distribution scheme may minimize overall runtime of the compute task given the modeled delays, scheduling grants for the secondary devices, and a radio resource allocation for the secondary devices.