Unmanned aerial vehicle trajectory optimization method based on wireless communication

Abstract

The invention relates to an unmanned aerial vehicle trajectory optimization method based on wireless communication. The method comprises the following steps: converting a non-convex problem into a convex problem through an optimization algorithm, and achieving the trajectory optimization of an unmanned aerial vehicle through a convex optimization tool box; and the minimum throughput of all groundusers can be maximized, so that the maximization of resource utilization is achieved. The backhaul link access point is introduced into the unmanned aerial vehicle communication network system, an expensive cable structure is not needed to build the system, so that the deployment cost is reduced. Meanwhile, the unmanned aerial vehicle communication technology has the characteristics of convenienceand flexibility, and the convenience and flexibility of wireless communication network deployment can be greatly improved. The method can also solve the problem of communication network congestion ina user dense place, and the optimal trajectory and the optimal user scheduling of the unmanned aerial vehicle are obtained by using an iterative optimization method under the condition of given userscheduling, power and initial trajectory of the unmanned aerial vehicle, so that the throughput of the whole system is improved.

Description

technical field [0001] The present invention relates to the field of unmanned aerial vehicle communication, and more specifically, relates to a method for optimizing trajectory of an unmanned aerial vehicle based on wireless communication. Background technique [0002] Due to the characteristics of low cost and high flexibility, UAV has been widely used in the field of wireless communication. UAVs are a promising solution to improve the performance of cellular networks as aerial base stations. Among them, in the dynamic UAV-assisted network, most UAVs directly serve multiple ground users. trajectory, so as to achieve the purpose of maximizing the minimum rate of users, but it does not take into account the use of backhaul links to enable users to communicate with the backbone network in time. [0003] At the same time, in the case of natural disasters, communication is blocked in some areas due to damage to basic facilities. In densely populated places, communication may h...

AI Technical Summary

Problems solved by technology

UAVs are a promising solution to improve the performance of cellular networks as aerial base stations. Among them, in the dynamic UAV-assisted network, most UAVs directly serve multiple ground users. trajectories, so as to achieve the purpose of maximizing the user's minimum rate, but it does not take into account the use of backhaul links to enable users to communicate with the backbone network in time

[0003] At the same time, in the case of natural disasters, communication is blocked in some areas due to damage to basic facilities

In crowded places, communication may have network congestion and network instability

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