Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

Abstract: A task modeling system, including a plurality of processing clients having a plurality of processing cores; a task modeler, including a memory storing an artificial neural network; and a processor, configured to receive input data representing a plurality of processing tasks to be completed by the processing client within a predefined time duration; and implement its artificial neural network to determine from the input data an assignment of the processing tasks among the processing cores for completion of the processing tasks within the predefined time duration, and determine a power management factor for each of the plurality of processing cores for power management during the predefined time duration; wherein the artificial neural network is configured to select the power management factor for each of the plurality of processing cores to achieve a power usage within a predefined threshold for the plurality of processing cores during the predefined time duration.

Abstract: An apparatus of a wireless device, such as a user equipment (UE), can include processing circuitry configured to perform one or more of the handover-related techniques disclosed herein. For example, when associated with moving with a plurality of mobile devices from coverage of a first cell to a second cell, the processing circuitry can detect the second cell. One or more parameters of the second cell can be measured. The one or more parameters can be communicated to one or more other mobile devices of the plurality of mobile devices.

Abstract: An apparatus of a wireless device, such as a user equipment (UE), can include processing circuitry configured to perform one or more of the handover-related techniques disclosed herein. For example, when associated with moving with a plurality of mobile devices from coverage of a first cell to a second cell, the processing circuitry can detect the second cell. One or more parameters of the second cell can be measured. The one or more parameters can be communicated to one or more other mobile devices of the plurality of mobile devices.

Abstract: An apparatus of a wireless device, such as a user equipment (UE), can include processing circuitry configured to perform one or more of the handover-related techniques disclosed herein. For example, when associated with moving with a plurality of mobile devices from coverage of a first cell to a second cell, the processing circuitry can detect the second cell. One or more parameters of the second cell can be measured. The one or more parameters can be communicated to one or more other mobile devices of the plurality of mobile devices.

Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

Abstract: A method of implementing distributed AI or ML learning for autonomous vehicles is disclosed. An AI or ML model specific to a location or a type of the location is generated at a vehicle. In response to a detection that the vehicle is within a proximity to a road side unit (RSU) associated with the location or the type of the location or the vehicle is within a proximity to an additional vehicle that is present or anticipated to be present at the location or the type of the location, causing an AI or ML model transmission to the additional vehicle or the RSU. Based on the causing the AI or ML model reception, causing deployment of an additional AI or ML model in the vehicle to optimize the vehicle for the location or the type of the location.

Abstract: Embodiments described herein are generally directed to a sequence encoding engine to apply pseudo-random label assignments to packets within a single transmission burst. They may also include a modulation circuit coupled to the sequence encoding engine to modulate signals to burst transmit the packets. These burst transmissions may travel along a plurality of radio access pathways. In embodiments, the pseudo-random label assignments to the packets within the single transmission burst using a van der Corput sequence, or some other sequence for example a digit-reversed base-N representation of a packet sequence number, wherein N is a number of the selected ones of the plurality of radio access pathways, for example but not limited to a LTE or a Wi-Fi pathway.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed provide an apparatus comprising a data manager to transmit a first signal to a discovery drone, the first signal to cause the discovery drone to discover user equipment in an environment, the user equipment outside of a first network including a first drone; and collect one or more values corresponding to the user equipment; a utility function determiner to, in response to a trigger event corresponding to the one or more values, determine a first position of the first drone in the environment; and a navigation dispatcher to transmit a second signal to the first drone, the second signal to cause the first drone to regulate the first position to establish one or more connections between the user equipment and the first network.

Abstract: An apparatus of a wireless device, such as a user equipment (UE), can include processing circuitry configured to perform one or more of the handover-related techniques disclosed herein. For example, when associated with moving with a plurality of mobile devices from coverage of a first cell to a second cell, the processing circuitry can detect the second cell. One or more parameters of the second cell can be measured. The one or more parameters can be communicated to one or more other mobile devices of the plurality of mobile devices.

Abstract: Apparatuses of a user equipment (UE), a cellular base station, and radio access network (RAN) nodes are disclosed. An apparatus of a wireless communication device includes circuitry configured to measure reference signals received from a plurality of antennas of an other wireless communication device, and circuitry configured to cause one or more antennas of the wireless communication device to transmit information regarding the received reference signals back to the other wireless communication device to enable the other wireless communication device to estimate a utility function for different transmit parameter sets.

Abstract: Embodiments of the present disclosure may include determining a gap measurement based on signal-to-noise ratio (SNR) or channel quality indicator (CQI) feedback from a user equipment (UE), determining a hysteresis for the UE based on the gap measurement, where the hysteresis is a detection latency or a threshold for consecutive blockage detection signal (BDS) failures, and constructing a signal to be sent to the UE, the signal to include an indication of the hysteresis. Other embodiments may be described and/or claimed.

Abstract: Apparatuses, systems and methods for mitigation and detection of drone-based interference are disclosed. An apparatus for a base station can include processing circuitry to encode a message to control a user equipment (UE) to measure received power received from a set of observed cells in a wireless communication network. Processing circuitry can further be configured to receive a report from the UE that includes received power for the set of observed cells. The processing circuitry can further determine interference power from the UE to a specified cell of the set of observed cells based on the report and further based on reported antenna gain. The processing circuitry can further determine whether to support communication of the UE within the wireless communication network based on the determined interference power from the UE. Other systems, methods and apparatuses are described.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed provide an apparatus comprising a data manager to transmit a first signal to a discovery drone, the first signal to cause the discovery drone to discover user equipment in an environment, the user equipment outside of a first network including a first drone; and collect one or more values corresponding to the user equipment; a utility function determiner to, in response to a trigger event corresponding to the one or more values, determine a first position of the first drone in the environment; and a navigation dispatcher to transmit a second signal to the first drone, the second signal to cause the first drone to regulate the first position to establish one or more connections between the user equipment and the first network.

Abstract: Embodiments described herein are generally directed to a sequence encoding engine to apply pseudo-random label assignments to packets within a single transmission burst. They may also include a modulation circuit coupled to the sequence encoding engine to modulate signals to burst transmit the packets. These burst transmissions may travel along a plurality of radio access pathways. In embodiments, the pseudo-random label assignments to the packets within the single transmission burst using a van der Corput sequence, or some other sequence for example a digit-reversed base-N representation of a packet sequence number, wherein N is a number of the selected ones of the plurality of radio access pathways, for example but not limited to a LTE or a Wi-Fi pathway.