Optimization of Unmanned Aerial Vehicles Placement in 5G Networks Using the Marine Predator Algorithm

The most important challenges concerning the deployment of Unmanned Areal Vehicles (UAVs) in 5G networks regard coverage optimization and resource efficiency. This paper deals with the Marine Predator Algorithm (MPA) applied for solving the UAVs placement problem in 5G scenarios. In this paper, a comparison is conducted between the MPA algorithm with four algorithms: Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), Black Widow Optimization Algorithm (BWOA), and Coronavirus Optimization Algorithm (COVIDOA). In this paper, there are test cases for multiple numbers of users and UAVs. Results show that MPA always outperforms the comparative algorithms in terms of coverage and altitude management.