A New Meta-heuristic Approach for 3D Placement of Multiple Unmanned Aerial Vehicle Base Stations In Wireless Networks

Özdağ R. , Yanıkömeroglu H.

International Conference on Data Science, Machine Learning and Statistics - 2019, Van, Turkey, 26 June - 29 July 2019, pp.64-66

  • Publication Type: Conference Paper / Full Text
  • City: Van
  • Country: Turkey
  • Page Numbers: pp.64-66


The use of Unmanned Aerial Vehicle as a mobile Base Stations (UAV-BSs) in wireless communication is expected to be an important component for the next generation wireless networks. Nowadays 3D placement of base stations mounted on Unmanned Aerial Vehicles (Drones), also called Low-altitude Aerial Platforms (LAPs), enable wireless communication to be performed effectively in the related environment. In this study, the location optimization of multiple UAV-BSs was performed in order to cover all users (receivers) that are assumed to be located at specified distance intervals in the urban environment defined according to the Air-to-Ground (ATG) model. For this purpose, a new meta-heuristic approach was improved called as Maximum Drone Deployment Algorithm based on the ElectroMagnetism-Like (MDDA-EML) algorithm to make efficient dynamic deployments of multiple 3D UAV-BSs. In addition, Pure-EML was designed based on the basic EML algorithm to compare the performance of the developed MDDA-EML. According to simulation results; it has been determined that the effective placement of multiple 3D Drone-BSs at near optimum height is provided by MDDA-EML which is covering the maximum number of users on the ground, thus reaching optimum coverage rates compared to Pure-EML