Distributed Deployment Method of UAV 3D Wireless Communication Network

Abstract

The invention discloses a distributed deployment method of a three-dimensional wireless communication network of a drone. Each base station of a drone in the three-dimensional communication network of a drone collects its neighbor drone base stations successively when the time slot for each position adjustment arrives. position and the position of each user within the coverage area, the user position prediction of the next position adjustment time slot is performed, and the user set of the next position adjustment time slot is determined according to the predicted position of the user. Each UAV base station is respectively based on its position coordinates, The position coordinates of the neighboring UAV base station and the user's predicted position are iteratively optimized to obtain the position of the UAV base station in the next position adjustment time slot. The invention can make each UAV base station independently adjust its own position, avoiding a large amount of communication required by the centralized algorithm and strict requirements on synchronization and scheduling.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional wireless communication networks of unmanned aerial vehicles, and more specifically relates to a distributed deployment method of three-dimensional wireless communication networks of unmanned aerial vehicles. Background technique [0002] The rapid development of mobile Internet has given birth to various emerging network services, which has caused the problem of rapid expansion of mobile data traffic demand, and it is difficult to cope with the sudden increase in traffic demand by relying on traditional ground base stations. At the same time, ground base stations also face a series of problems such as high deployment cost and difficulty in remote areas, mountainous areas and other dangerous locations, and are vulnerable to damage in natural disasters such as earthquakes. Therefore, it is urgent to find other base station deployment methods to solve the above problems. question. [0003]...

AI Technical Summary

Problems solved by technology

However, most of the common deployment algorithms are centralized algorithms. When there are multiple drones forming a wireless communication network, the algorithm requires a control center to run the algorithm and deliver the running results to the drones in the network. , and each UAV in the network also needs to transmit the collected information back to the control center. At the same time, it is difficult to implement due to the need for complex synchronization and scheduling mechanisms.

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