A system and method of cognitive radio control to allow for low probability of detection and/or low probability of exploitation communications in a contested or hostile environment. The cognitive radio system of the present disclosure can reason over policy constraints and real-time data to make dynamic changes to mission parameters in real-time.

Disclosed are examples of systems, apparatus, methods and computer program products for locating unmanned aerial vehicles (UAVs). A region of airspace may be scanned with two scanning apparatuses. Each scanning apparatus may include one or more directional Radio Frequency (RF) antennae. The two scanning apparatuses may have different locations. Radio frequency signals emitted by a UAV can be received at each of the two scanning apparatuses. The received radio frequency signals can be processed to determine a first location of the UAV.

An Unmanned Aerial Vehicle (UAV) air traffic control method utilizing wireless networks includes communicating with a plurality of UAVs via a plurality of cell towers associated with the wireless networks, wherein the plurality of UAVs each include hardware and antennas adapted to communicate to the plurality of cell towers, and wherein each of the plurality of UAVs include a unique identifier; maintaining data associated with flight of each of the plurality of UAVs based on the communicating; and processing the maintained data to perform a plurality of function associated with air traffic control of the plurality of UAVs.

An enhanced L-band Digital Aeronautical Communications System (LDACS) may include LDACS ground stations, and LDACS airborne stations configured to communicate with the LDACS ground stations. The enhanced LDACS may also include a Cloud-based network controller configured to allocate LDACS resources to the LDACS ground stations and the LDACS airborne stations based upon a number of LDACS airborne stations, respective flight paths of each LDACS airborne station, a respective type of each LDACS airborne station, and historical data on communication use for each LDACS airborne station.

Provided are methods and apparatuses for performing a random access of a terminal in a wireless communication system. A method, performed by a terminal, of performing a random access, according to an embodiment, includes receiving preamble configuration information from a base station, obtaining a RACH (random access channel) preamble scaled in length in proportion to a difference between an expected minimum distance and an expected maximum distance to the base station from opposed edges of a cell served by the base station, based on the preamble configuration information and transmitting the obtained RACH preamble to the base station to access a NTN (non-terrestrial network).

A method of receiving a target position and a target orientation of an airborne base station; predicting a target signal quality of the airborne base station at the target position and the target orientation based on at least one previous signal quality of the airborne base station corresponding to at least one previous position and at least one previous orientation of the airborne base station relative to the ground reference. Each previous signal quality of the airborne base station is measured by one or more terrestrial terminals located in corresponding one or more communication beams of the airborne base station. The method further includes selecting a target communication beam among the communication beams of the airborne base station for a communication link.

Autonomous vehicles such as UAVs or cars provide network access points. User devices connect to the network access points and network access is monitored. User location data is also monitored. A profile of the user is generated from the gathered data. Advertisements are selected based on a profile of the user and the current location of the user. The autonomous vehicles may be distributed geographically to provide a network access to a geographic area. In response to detecting that a user device is moving out of a coverage area of an autonomous vehicle, nearby autonomous vehicles are identified. If the user device is in the coverage area of a nearby autonomous vehicle, the network connection to the user device is transferred to that vehicle.

Described herein are methods and systems for dynamically optimizing a Flying Ad-Hoc Network (“FANET”). A server that manages the FANET can receive information relating to the network activity of user devices connected to the FANET. Examples of the type of information included can include the user devices' locations, network connection quality, and network traffic volume dedicated to a Unified Endpoint Management (“UEM”) system of an enterprise. The server can analyze the network activity information based on a set of rules to prioritize the user devices connected to the FANET. The server can instruct unmanned aerial vehicles (“UAVs”) in the FANET to reposition themselves to provide the best connection for higher priority user devices.

Example methods, apparatus, systems, and machine-readable mediums for unmanned aerial vehicle drive testing and mapping of carrier signals are disclosed. An example method may include determining that an unmanned aerial vehicle is travelling on a flight route at an altitude for determination of network performance of a cellular network. The method may further include determining, using an antenna, signal diagnostics of the cellular network during travel of the unmanned aerial vehicle on the flight route. The method may conclude with transmitting the signal diagnostics of the cellular network to a service provider.

Multibeam coverage for a high altitude platform (“HAP”) is disclosed. An example method to provision a HAP includes determining an altitude range at which the HAP will operate and determining a minimum elevation angle from the ground to the HAP. The method also includes determining a coverage area of the HAP based on the altitude range and the minimum elevation angle and partitioning the coverage area into substantially equal-sized cells. The method further includes assigning an antenna to each of the cells and determining a beamwidth and an elevation angle for each antenna to provide communication coverage to the corresponding cell. The method moreover includes determining an aperture for each of the antennas based on the beamwidth and the elevation angle to provide the substantially equal-sized cells.