Unmanned aerial vehicle communication network topology optimization method and system

Abstract

The invention provides an unmanned aerial vehicle communication network topology optimization method and system, and the method comprises the steps: obtaining a large-scale channel fading factor between an unmanned aerial vehicle and a user according to the initial value of the position of the unmanned aerial vehicle in an unmanned aerial vehicle communication network and the statistical distribution information of the position of the user; obtaining the total channel capacity of the unmanned aerial vehicle communication network and the current gradient value of the total channel capacity for the position of the unmanned aerial vehicle according to the large-scale channel fading factor; and obtaining a descent step length of the current gradient value based on a stochastic gradient descent method, and iteratively updating the position of the unmanned aerial vehicle according to the current gradient value and the descent step length so as to optimize the communication network topology of the unmanned aerial vehicle. The system is used for executing the method. The unmanned aerial vehicle communication network topology optimization method and system are mainly applied to an emergency unmanned aerial vehicle communication network, can quickly calculate a reasonable unmanned aerial vehicle formation configuration on the premise of knowing user distribution, and can adjust the topology structure of the unmanned aerial vehicle in real time according to the change of user position distribution.

Description

technical field [0001] The present invention relates to the technical field of wireless communication network planning, in particular to a topology optimization method and system for a communication network of an unmanned aerial vehicle. Background technique [0002] In disaster-stricken areas, remote mountainous areas, and offshore waters, traditional cellular networks based on ground infrastructure (base stations, optical fibers, etc.) may be damaged or difficult to deploy due to geographical conditions. Unlike ground fixed infrastructure, drones have the advantages of strong mobility, flexibility, and quick and convenient deployment. Therefore, building a drone communication network is an effective way to achieve wide-area broadband coverage. The topology of the UAV communication network determines the basic performance of the network, and it needs to be reasonably designed in advance to achieve wide-area broadband emergency information coverage with limited overhead. Ta...

AI Technical Summary

Problems solved by technology

In practical applications, user location will show obvious changes over time, and user location information is often difficult to obtain in advance

Images