Improving Cellular Coverage using Optimal Number of Drone Base Station

Abstract

In wireless network, the use of UAVs as a base station has started to draw attention. Drone base stations (DBSs) improve the reliable coverage of network and area by providing optimized data rates against user requests. Improving the positioning of networks is a favorable strategy. However, installation of such base stations can face certain constraints that need to be deemed in a microcell while optimizing the number of base stations for drones. As the drones can move freely, so they can operate in dangerous environments, areas that have natural or unnatural disaster. Drones movement can be controlled so they can be repositioned easily and quickly based on demand. With the help of drones, another advantage to the ground user is to improve coverage with clear line-of-sight (LoS) connection. Finding location of DBS in such a way that it guarantees service and to achieve traffic necessities to all the users in a micro-cell is a very difficult problem. The proposed solution aims at finding the best position of DBS in a micro cell environment by using K-means clustering. While establishing the voronoi polygon as micro-cell, provides optimal coverage and increase capacity throughout the service area because of area reduction.