DRL-based multi-unmanned aerial vehicle aerial base station dynamic deployment method and system

Abstract

The invention relates to a DRL-based multi-unmanned aerial vehicle air base station dynamic deployment method and system. The method comprises the steps of obtaining a to-be-deployed target area range; determining the deployment height of the unmanned aerial vehicle by adopting an ATG channel model according to the target area range; based on the deployment height, the user distribution in the target area range, the number of the unmanned aerial vehicles and the update time period, constructing a neural network model of multi-unmanned aerial vehicle base station dynamic deployment, wherein theneural network model comprises an Actor network and a Critic network; training the neural network model based on a DRL training mode to obtain a trained Actor network; and based on the position information of each unmanned aerial vehicle and the position information of each user at the initial moment in the updating time period, generating a motion decision of each unmanned aerial vehicle in theupdating time period by adopting the trained Actor network. According to the invention, the communication efficiency of the unmanned aerial vehicle base station can be improved under the condition oftime-varying ground user position information.

Description

technical field [0001] The present invention relates to the field of air base station deployment, in particular to a DRL-based method and system for dynamic deployment of multi-UAV air base stations. Background technique [0002] In recent years, UAVs have become the focus of attention and application in various fields due to their fast response and high flexibility. In the future civilian or military battlefields, space-based, space-based, and ground-based networks will be integrated to form a multi-layer heterogeneous wireless network architecture. Under the Internet of Everything mode, every object around us may be a Intelligent equipment, which constitutes a node of the network, can transmit information back to the cloud at any time through the network. In the near future, IoT devices will flood our lives, and there will be massive demand for data communication. With the rapid development of information communication and artificial intelligence technology, UAVs will ser...

AI Technical Summary

Problems solved by technology

In actual application scenarios, it is often necessary for multiple drones to adjust their 3D positions according to the user's movement, so as to provide better services. In the existing research, there is a lack of dynamic deployment of multi-UAV base station cooperation. design and consideration

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