The invention relates to a mobile edge computing system and a resource allocation method thereof. The mobile edge computing system comprises Internet of Things equipment, an unmanned aerial vehicle and a mobile edge serve; An air-ground communication link of a sight distance is established between the unmanned aerial vehicle and the Internet of Things equipment; The mobile edge server is carried on the unmanned aerial vehicle; The mobile edge server and the Internet of Things device are in communication connection through the air-ground communication link, the mobile edge server obtains to-be-processed data from the Internet of Things device and conducts resource allocation according to the to-be-processed data, and reliable edge computing service can be provided for the remote Internet ofThings device.

A mobile edge computing system and a resource allocation method thereof

The invention discloses a route optimizing method and device of a communication unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle communication. The method includes the steps of obtaining a user group and geographic positions thereof, dividing the user group into K multicast groups, determining K initial hovering positions corresponding to the K multicast groups one to one, determining the shortest initial flight route of the K initial hovering positions, and optimizing the initial hovering positions of the unmanned aerial vehicle one by one to obtain the Kfinal hovering positions corresponding to the K multicast groups and the final flight route. In the method, by dividing the user group into a plurality of multicast groups, finding a proper hoveringposition in each multicast group so that the unmanned aerial vehicle can transmit files at a high transmission rate at the position and designing the flight trajectory of the unmanned aerial vehicle to find the shortest route passing through all the hovering positions and returning to the initial position, multicast service transmission tasks are completed by the unmanned aerial vehicle with the minimum total energy consumption.

Route optimizing method and device of communication unmanned aerial vehicle

The invention discloses a resource allocation and flight path optimization method based on an unmanned aerial vehicle base station system. A limited backhaul link is given; the ground users are divided into time delay tolerant users and time delay sensitive users according to the sensitivity degree of the ground users; and the unmanned aerial vehicle serves as an aerial base station to receive andforward information sent by an information source to a time delay tolerance and time delay sensitive user on the ground. The minimum throughput of the delay tolerant user is maximized by jointly optimizing the bandwidth power and the track; the optimization of the system is more targeted, and the throughput of the system is increased in a mode of optimizing the bandwidth power and the track in turns, so that the utilization rate of the unmanned aerial vehicle is effectively improved, and the problem that the throughput of a communication system cannot be effectively improved by an existing unmanned aerial vehicle track planning method is solved.

Resource allocation and flight path optimization method based on unmanned aerial vehicle base station system

The invention provides a trajectory optimization method for wireless communication between an unmanned aerial vehicle and multiple ground terminals. The invention assumes that energy carried by the unmanned aerial vehicle (for a fixed-wing unmanned aerial vehicle) in a communication process is limited. Since the energy consumption of data transmission is much smaller than flight energy consumption, the flight energy consumption of the unmanned aerial vehicle is mainly considered. The invention aims at minimizing the flight energy consumption of the unmanned aerial vehicle based on the completion of a communication requirement. A system model and a flight energy consumption model of the unmanned aerial vehicle are used to calculate the turning radius with the minimum flight energy consumption in the communication range of each ground terminal. A flight trajectory with the minimum energy consumption is acquired. The method proposed by the invention can pre-plan a low-energy-consumption flight trajectory for the unmanned aerial vehicle when the unmanned aerial vehicle communicates with a plurality of ground terminals.

Trajectory optimization method for wireless communication between unmanned aerial vehicle and multiple ground terminals

The embodiment of the invention provides an unmanned aerial vehicle formation communication coverage power distribution method and system, and the method comprises the steps: obtaining an electromagnetic map between an unmanned aerial vehicle formation and a user terminal, and obtaining the large-scale channel fading data between each unmanned aerial vehicle in a hovering service and the corresponding user terminal according to the electromagnetic map; and according to a convex optimization algorithm and an intermediate variable, performing iteration processing on the large-scale channel fading data, and if an iteration result satisfies a convergence condition, obtaining an optimal power distribution scheme of unmanned aerial vehicle formation communication coverage. According to the embodiment of the invention, large-scale channel fading data between each unmanned aerial vehicle on an electromagnetic map and a user terminal using the unmanned aerial vehicle communication coverage service are obtained; the large-scale channel fading data is iteratively processed through a convex optimization algorithm, and optimal power distribution is carried out on the communication coverage service of the unmanned aerial vehicle formation, so that the user terminal obtains better communication coverage, and the communication coverage service quality of the unmanned aerial vehicle formation is improved.

Unmanned aerial vehicle formation communication coverage power distribution method and system

The invention discloses an unmanned aerial vehicle data transmission method with low transmission energy consumption. The method comprises the following steps of step S1, establishing a mathematical model according to parameters and tasks of an unmanned aerial vehicle and an actual condition of an environment; S2, utilizing a discretization and linearization technology to process the model; and S3, obtaining a final result by an iterative method based on a CCCP (concave-convex procedure) concept. Compared with the prior art, firstly, the mathematical optimization model is established by utilizing the requirements for the parameters and the tasks of the unmanned aerial vehicle and the actual condition of the environment; secondly, discretization and linearization approximate treatment is carried out on the mathematical model; lastly, the optimization problem is solved by an iterative algorithm based on the CCCP concept; and finally, a flight trajectory of the unmanned aerial vehicle during a task completing period and transmission power distribution and task allocation coefficients of a plurality of ground terminals are given, so that the transmission energy consumption of the unmanned aerial vehicle to the ground terminals is reduced.

Unmanned aerial vehicle data transmission method with low transmission energy consumption

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Unmanned aerial vehicle data transmission method with low transmission energy consumption