Systems and methods for detecting an unmanned aerial vehicle (UAV). Network access (for example, to the Internet) may be provided by detecting a UAV and fixing one or more beams from one or more ground terminals to the UAV. In one embodiment, the detection of a UAV includes forming and pointing beams from a ground terminal and ground gateways toward the UAV. The ground terminal may be configured to autonomously steer its antenna beam during initial installation to detect the reference signal from a UAV. In one variant, the ground terminals are steered to more finely track the position of the UAV based on a signal quality metric such as received signal strength. In one embodiment, the ground terminal antenna is initially manually pointed toward the UAV, and thereafter allowed to automatically steer to track the position of the UAV.

Methods, systems, and devices for wireless communications are described. Specifically, techniques and signaling for configuring and utilizing parameters for unmanned aerial vehicle (UAV)-to-everything (U2X) communications are described, including registration procedures for U2X communications. A user equipment (UE), such as a UAV, may receive control signaling indicating a UE policy configuration including a set of radio parameters usable by the UE to perform sidelink communications to support one or more UAV services. The UE may receive an altitude limitation parameter associated with the one or more UAV services via the control signaling, additional control signaling, or both. The UE may then perform a sidelink message associated with the one or more UAV services in accordance with the UE policy configuration and altitude limitation parameter.

Provided is a smart surveillance system that includes one unmanned aerial vehicle (UAV), a plurality of Internet of Things (IoT) terminals distributed in a surveillance area, and a plurality of base stations distributed in the surveillance area, wherein the UAV selects any IoT terminal from among the plurality of IoT terminals using deep learning auction training, receives surveillance data from the selected IoT terminal, and transmits the surveillance data to a data center through the Internet and any one base station among the plurality of base stations.

Systems and methods for detecting an unmanned aerial vehicle (UAV). Network access (for example, to the Internet) may be provided by detecting a UAV and fixing one or more beams from one or more ground terminals to the UAV. In one embodiment, the detection of a UAV includes forming and pointing beams from a ground terminal and ground gateways toward the UAV. The ground terminal may be configured to autonomously steer its antenna beam during initial installation to detect the reference signal from a UAV. In one variant, the ground terminals are steered to more finely track the position of the UAV based on a signal quality metric such as received signal strength and the UAV real-time position location coordinates. In one embodiment, the ground terminal antenna is initially manually pointed toward the UAV, and thereafter allowed to automatically steer to track the position of the UAV. In another embodiment the UAV antenna is steered toward a ground terminal using signal quality received from the ground terminal and real-time position coordinates and orientation of the UAV.

Systems and methods for detecting an unmanned aerial vehicle (UAV). Network access (for example, to the Internet) may be provided by detecting a UAV and fixing one or more beams from one or more ground terminals to the UAV. In one embodiment, the detection of a UAV includes forming and pointing beams from a ground terminal and ground gateways toward the UAV. The ground terminal may be configured to autonomously steer its antenna beam during initial installation to detect the reference signal from a UAV. In one variant, the ground terminals are steered to more finely track the position of the UAV based on a signal quality metric such as received signal strength. In one embodiment, the ground terminal antenna is initially manually pointed toward the UAV, and thereafter allowed to automatically steer to track the position of the UAV.

A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.

A media playback system comprising a transmitter configured to transmit an indication of a media item; a plurality of drones; a controller configured to control the spatial configuration of the drones and, in response to receiving the indication of a media item, control the drones to adopt a predefined 3D spatial configuration; a mobile device comprising a camera and a media playback unit, wherein the camera is capable of capturing an image of the plurality of drones; a processor configured to analyse the captured image to determine the media item that corresponds to the predefined 3D spatial configuration; and wherein the media playback unit is configured to play the determined media item.

A method and a system for selecting and deploying one of unmanned aerial vehicles (UAVs) and microservices or Functions-as-a-Service (FaaS) comprise selecting a preliminary number of UAVs, microservices or FaaS for deployment by defining possible outcomes for criteria having predefined constraints and associated priority weights, computing a penalty factor score (SPF) based on whether or not each possible outcome violates the constraints, computing a compactness factor score (SCF) based on how close or far the possible outcomes are from an average score of all values falling under a same type of criteria, ranking the possible outcomes using SPF and SCF, and selecting the preliminary number based on the ranking. Positions of the preliminary number of UAVs within the area of interest are determined to maximize coverage and minimize overlap. A placement of the preliminary number of microservices or FaaS is determined to minimized a targeted deployment cost.

Provided is a system including: a first flying object and a second flying object each configured to be capable of establishing a wireless communication link with a ground communication device arranged on ground, in which, when replacing the first flying object which has established a wireless communication link with the ground communication device using a first circularly polarized wave with the second flying object, the first flying object cuts the wireless communication link with the ground communication device after the second flying object has established a wireless communication link with the ground communication device using a second circularly polarized wave opposite to the first circularly polarized wave.

Embodiments disclosed herein are related to a method that can include displaying first content on a media display, receiving first data generated from or determined by an Internet of Things (IoT) device, and displaying second content in response to receiving the first data from the IoT device.