Abstract: A configuration for virtual sensing via sensor sharing for C-V2X scheduling. The apparatus receives, from a first wireless device, a message indicating a threat entity within a threat zone. The threat entity transmits data that interferes with transmission of BSMs. The apparatus determines a candidate resource of a set of candidate resources on which to transmit a BSM based at least in part on the message indicating information related to the threat entity from the first wireless device. The apparatus transmits, to at least a third wireless device, the BSM on a determined candidate resource.

Abstract: Disclosed are techniques for performing wireless communication. In some aspects, a wireless communication device may determine that a prospective position of the wireless communication device is in a geographic area associated with a deficient global navigation satellite system (GNSS) signal. In some cases, the wireless communications device can transmit a sidelink synchronization signal to at least one user equipment (UE) device that is located within the geographic area associated with the deficient GNSS signal.

Abstract: Systems and techniques are described for detecting one or more timing errors. For example, a system can receive, from a navigation system, navigation timestamp information at a first instance and a second instance. The system can determine a navigation system time difference based on the navigation timestamp information at the first instance and the second instance. The system can further receive, from a wireless device, network timestamp information at the first instance and the second instance. The system can determine a network time difference based on the network timestamp information at the first instance and the second instance. The system can further determine whether time reporting by the navigation system is correct based on the navigation system time difference and the network time difference.

Abstract: Systems and techniques are described for validating object detection. For example, an apparatus can obtain sensor data corresponding to a field-of-view of a vehicle. The apparatus can receive a message from a wireless device. The message includes an indication of at least one object in the field-of-view of the vehicle and a reported location of the at least one object. The apparatus can further determine, based on the sensor data and the message from the wireless device, whether the wireless device has misreported the at least one object.

Abstract: Systems and techniques are described for validating object detection. For example, an apparatus can receive a message from a wireless device. The message includes object data corresponding to one or more objects reported by the wireless device to be within a field-of-view of the apparatus. The apparatus can further determine, based on the object data, whether the wireless device has misreported at least one of the one or more objects.

Abstract: A method includes obtaining a radio frequency (RF) signal magnitude for a plurality of RF signals broadcasted in an environment and generating a digital RF heat map of the environment based on each RF signal magnitude. The method includes determining an RF coverage of the environment based on the digital RF heat map and selecting, for a wireless communication device, a communication channel from among a plurality of communication channels based on the RF coverage and one or more RF probability distribution functions.

Abstract: Method and apparatus for cooperative early threat detection. In some aspects, the apparatus detects one or more object data signals having data that interferes with wireless resources utilized in automated driving decisions. The apparatus transmits, to at least a second wireless device, a message indicating the one or more object data signals having the data that interferes with wireless resources utilized in automated driving decisions. The one or more object data signals may correspond to a misbehaving wireless device. The data of the misbehaving wireless device may comprise implausible data related to at least one characteristic of the misbehaving wireless device.

Abstract: Method and apparatus for cooperative early threat detection and avoidance in C-V2X. In one aspect, the apparatus detects a threat entity within a threat zone based on data signals received from the threat entity, wherein the threat entity obstructs wireless spectrum or resources utilized in cooperative or automated driving decisions. The apparatus transmits, to at least one second wireless device, a message indicating the threat entity within the threat zone.

Abstract: A configuration for virtual sensing via sensor sharing for C-V2X scheduling. The apparatus receives, from a first wireless device, a message indicating a threat entity within a threat zone. The threat entity transmits data that interferes with transmission of BSMs. The apparatus determines a candidate resource of a set of candidate resources on which to transmit a BSM based at least in part on the message indicating information related to the threat entity from the first wireless device. The apparatus transmits, to at least a third wireless device, the BSM on a determined candidate resource.

Abstract: Systems and methods for predicting an optimal use level of a driver assist system are provided. The system may collect historical driver behavior and road condition data, and train an optimization prediction model using the historical data, e.g., via machine learning or artificial intelligence. Moreover, the system may collect real-time driver behavior and road condition data, and predict an optimal use level of the driver assist system based on the real-time data using the trained optimization prediction model. The system may then send feedback to the driver assist system when the optimal use level falls outside a predetermined threshold, such that the driver assist system may be unavailable or have reduced functionality until the optimal use level improves.

Abstract: System and methods for a decentralized hybrid air-ground autonomous last-mile goods delivery are disclosed herein. A drone can include a controller configured to cause the drone to depart from a docking station of a vehicle, transmit a discovery message to available vehicles in an operating area, the discovery message having drone metadata, select at least one of one of the available vehicles based on response codes received from the available vehicle, or a nearest fixed docking station, and dock with a docking station of the one of the available vehicles or the nearest fixed docking station.

Abstract: A V2X event-message dictionary and a binning function are received from a cloud server. Sensor data is compared to events specified in the V2X event-message dictionary to identify a best-fit event for the sensor data. A number of bins and a bin number for the event are computed using the binning function. A V2X message is transmitted including the number of bins and the bin number, thereby avoiding including the sensor data in the V2X message.

Abstract: A method includes obtaining a radio frequency (RF) signal magnitude for a plurality of RF signals broadcasted in an environment and generating a digital RF heat map of the environment based on each RF signal magnitude. The method includes determining an RF coverage of the environment based on the digital RF heat map and selecting, for a wireless communication device, a communication channel from among a plurality of communication channels based on the RF coverage and one or more RF probability distribution functions.

Abstract: A graph of devices is constructed, each network device serving an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the network devices, each edge of the graph connecting network devices by interference weight, such that edges between connected network devices using different channels have an interference weight of zero, and edges between connected network devices using the same channel have an interference weight denoting an amount of interference between the connected network devices. A cell utilization of each of the network devices is determined according to an amount of traffic served by the respective network device compared to a total of the amounts of bandwidth for all network devices. A vehicle requesting bandwidth is assigned to the one of the network devices having a smallest product of cell utilization and maximum interference weight edge.

Abstract: A graph of devices is constructed, each network device serving an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the network devices, each edge of the graph connecting network devices by interference weight, such that edges between connected network devices using different channels have an interference weight of zero, and edges between connected network devices using the same channel have an interference weight denoting an amount of interference between the connected network devices. A cell utilization of each of the network devices is determined according to an amount of traffic served by the respective network device compared to a total of the amounts of bandwidth for all network devices. A vehicle requesting bandwidth is assigned to the one of the network devices having a smallest product of cell utilization and maximum interference weight edge.

Abstract: A graph of devices is constructed, each device requiring an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the devices, each edge of the graph connecting devices according to a weight denoting interference between the connected devices. The vertices of the graph are labeled with labels such that no two vertices sharing the same edge have the same label, each label requiring bandwidth corresponding to the device of that label requiring the most bandwidth. If the sum of the bandwidth required for the labels exceeds the set bandwidth, the edge of the graph having the least interference is deleted, and the perform the construct and label operations are repeated. If the sum of the bandwidth required for the labels is within the set bandwidth, the bandwidth is assigned to the devices.

Abstract: A graph of devices is constructed, each device requiring an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the devices, each edge of the graph connecting devices according to a weight denoting interference between the connected devices. The vertices of the graph are labeled with labels such that no two vertices sharing the same edge have the same label, each label requiring bandwidth corresponding to the device of that label requiring the most bandwidth. If the sum of the bandwidth required for the labels exceeds the set bandwidth, the edge of the graph having the least interference is deleted, and the perform the construct and label operations are repeated. If the sum of the bandwidth required for the labels is within the set bandwidth, the bandwidth is assigned to the devices.

Abstract: Systems and methods of QoS-aware admission control for networks including heterogeneous data traffic types is provided. Embodiments of the present disclosure take into account one or more connection parameters for several data flows within a network in determining whether sufficient resources are available to admit a new flow into the network, accounting for different quality-of-service (QoS) requirements arising from the heterogeneity of the traffic types. Moreover, various embodiments traverse different adjustment options for connection parameters, termination options, or combinations of both to identify the optimal set of flows and connection parameters to achieve bandwidth efficiency while ensuring that lower ranked data flows are not admitted at the expense of higher ranked flows.

Abstract: Allocation slot arrangement is provided for wireless body area networks (BANs). In particular, in some embodiments the allocation slots are arranged based on a set of rules and received input parameters. Allocation slot arrangement may comprise maximizing a weighted sum function computed by applying the rules and input parameters to all nodes over all possible arrangements.

Abstract: Allocation slot arrangement is provided for wireless body area networks (BANs). In particular, in some embodiments the allocation slots are arranged based on a set of rules and received input parameters. Allocation slot arrangement may comprise maximizing a weighted sum function computed by applying the rules and input parameters to all nodes over all possible arrangements.