A cellular type communications system for cellular telephone networks to operate, control and communicate with unmanned aerial vehicles and remote piloted vehicles, the system including a first near-ground region to communicate with devices near the ground, as well as one or more layers covering roughly the same areal extent as the ground region but which are separated from each other and also elevated above ground substantially, and within which an aerial vehicle may rely on communications using the cell-based communications network.

Aspects of the technology include establishing a primary communication link between a communication system of a first balloon and a communication system of a second balloon, detecting a movement of the second balloon relative to the first balloon that is expected to cause the primary communication link to become unavailable at a given time during the movement, establishing an RF communication link between an RF communication system of the first balloon and an RF communication system of the second balloon, detecting that the movement of the second balloon relative to the first balloon is such that the primary communication link between the communication system of the first balloon and the optical communication system of the second balloon can be re-established, and re-establishing the primary communication link between the communication system of the first balloon and the communication system of the second balloon.

An unmanned aerial vehicle (UAV) task cooperation method based on an overlapping coalition formation (OCF) game includes: constructing a sequential OCF game model for a UAV multi-task cooperation problem; using a bilateral mutual benefit transfer (BMBT) order that is biased toward the utility of a whole coalition to evaluate a preference of a UAV for a coalitional structure; optimizing task resource allocation of the UAV under an overlapping coalitional structure by using a preference gravity-guided Tabu Search algorithm to form a stable coalitional structure; and optimizing a transmission strategy based on the current coalitional structure, an updated status of a task resource allocation scheme of the UAV, and a current fading environment, so as to maximize task execution utility of a UAV network. The method quantifies characteristics of resource properties of the UAV and a task, and optimizes the task resource allocation of the UAV under the overlapping coalitional structure.

There is provided an apparatus, said apparatus comprising means for determining which of at least two lower layer radio units co-located at a first location, each lower layer radio unit associated with a higher layer radio unit, has a best path to the associated higher layer radio unit and causing the transmit power of the determined one of the at least two lower layer radio units received at a user equipment to be higher relative to the transmit power of any of the other of the at least two lower layer radio units received at the user equipment.

A first offset compensator configured to compensate for frequency offsets occurring during communications between a plurality of communication devices and a relay device, wherein when the first offset compensator is provided on the relay device, the first offset compensator gives a statistical frequency offset obtained from a statistic of a plurality of frequency offsets occurring during communications between respective ones of the plurality of communication devices and the relay device to a receiver configured to receive wireless signals transmitted from respective ones of the plurality of communication devices, and when the first offset compensator is provided on each of the plurality of communication devices, the first offset compensator gives a frequency offset occurring during communications between the communication device provided with the first offset compensator and the relay device to a transmitter configured to transmit wireless signals to the relay device.

Deployed drones are managed. For instance, a first drone detects whether the first drone is in communication with a command center via a first communication network to determine a configuration parameter of a first message to broadcast discovery information associated with the first drone. In response to the first drone being in communication with the command center via the first communication network, the first drone broadcasts the first message configured with a first value for the configuration parameter. Or, in response to the first drone not being in communication with the command center via the first communication network, the first drone broadcasts the first message configured with a second value for the configuration parameter different from the first value.

The present disclosure relates to a maritime communication system based on low earth orbit satellites and an unmanned aerial vehicle. The maritime communication system according to one embodiment may include one or more maritime users, one or more satellites connected to a network operator, and an unmanned aerial vehicle (UAV) for relaying communication between the maritime users and the satellites.

A method of monitoring a kinematic state of an unmanned aerial vehicle (UAV) is provided. The method comprises obtaining one or more predicted pathlosses between a UAV and one or more base stations at a first time instance, wherein the predicted pathlosses are determined using an estimate of a kinematic state of the UAV at the first time instance and one or more pathloss models developed using a machine-learning process. The method further comprises obtaining one or more measurements of a pathloss between each of the one or more base stations and the UAV at the first time instance, and re-determining the estimate of the kinematic state of the UAV at the first time instance based on the one or more predicted pathlosses and the one or more measurements of the pathloss.

A control method and a control device in a heterogeneous three-dimensional hierarchical network, and a communication system are provided. The control method includes: obtaining a coverage mode of a terminal; when the coverage mode is single-layered sub-network coverage, setting a non-ground mobile communication sub-network or a ground mobile communication sub-network corresponding to the single-layered sub-network coverage to be in a standalone operating mode or an intra-layer carrier aggregation mode; and when the coverage mode is multi-layered sub-network coverage, setting the non-ground mobile communication sub-network corresponding to the multi-layered sub-network coverage, or the ground mobile communication sub-network and the non-ground mobile communication sub-network corresponding to the multi-layered sub-network coverage, to be in a cross-layer carrier aggregation mode. The ground mobile communication sub-network and the non-ground mobile communication sub-network use a same or unified radio access technology.

Disclosed is a relay selection method for unmanned aerial vehicles in post disaster emergency scenarios in underground space, comprising the following steps: collecting a maximum rate, a minimum rate and an average rate of data transmission assisted by a D2D user through an unmanned aerial vehicle (UAV) based on a prediction range of the D2D user for the UAV, and obtaining a first uncertain preference order of the D2D user for the UAV and a second uncertain preference order of the UAV for the D2D user; obtaining a preference strategy of the D2D user for the UAV based on the first uncertain preference order and the second uncertain preference order; and exchanging and matching the UAVs matched by any two D2D users based on the many-to-one bilateral matching model, so as to obtain a stable matching result of bilateral exchange.