Throughput capacity-maximized unmanned aerial vehicle trajectory planning method

Abstract

The invention discloses a throughput capacity-maximized unmanned aerial vehicle trajectory planning method, and belongs to the field of unmanned aerial vehicle communication. The method comprises thefollowing steps of: S1, establishing an unmanned aerial vehicle-ground communication system model, and determining a throughput capacity optimization target function via a track of the unmanned aerialvehicle and transmission power; S2, setting distance thresholds, grouping a plurality of randomly distributed ground nodes according to the thresholds, and analyzing influences, on the groups, of different distance thresholds; S3, after the grounding, calculating the geometric center of each group so as to determine a flight center of the unmanned aerial vehicle, solving traveling salesman problems to solve shortest flight path problems of the unmanned aerial vehicle, and determining a communication sequence, for the grouped ground nodes, of the unmanned aerial vehicle; S4, determining an optimum flight radius, an optimum flight speed and an optimum flight circle number of the unmanned aerial vehicle; and S5, during the optimization, firstly optimizing the track under the condition that the track is certain, optimizing the track under the condition that the power is certain, and finally carrying out combined optimization, so as to improve the system throughput.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle communication, and specifically relates to a trajectory planning method for an unmanned aerial vehicle with maximum throughput. Background technique [0002] In recent years, research on unmanned aerial vehicle (UAV) serving as a mobile base station in the air and a wireless network composed of multiple ground nodes has become a hot spot. One of the important aspects related to improving the performance of UAV communication system is trajectory optimization, especially for UAV-assisted In terms of communication, proper trajectory planning will significantly shorten the communication distance, which has a crucial impact on improving system throughput. Finding the optimal UAV flight trajectory is a challenging task. On the one hand, the need to determine the continuous UAV trajectory involves infinite variables; on the other hand, it is usually subject to various practical constraints, such a...

AI Technical Summary

Problems solved by technology

It should be noted that when performing trajectory optimization, its non-convexity seriously hinders the search for the optimal solution, and it is necessary to solve this non-convexity problem

Images