No Detail Found!

Improving Cellular Coverage using Optimal Number of Drone Base Station

Author(s)
M. N. Majeed Department of Data Science, Punjab University, Lahore, Pakistan
M. S. Bhatti University Institute of Information Technology, PMAS-Arid Agriculture University, Rawalpindi, Pakistan.
S. Majeed University Institute of Information Technology, PMAS-Arid Agriculture University, Rawalpindi, Pakistan.
K. Sattar University Institute of Information Technology, PMAS-Arid Agriculture University, Rawalpindi, Pakistan.
S. Iqbal Department of Computer Science, Allama Iqbal Open University, Islamabad, Pakistan
G. Mustafa University Institute of Information Technology, PMAS-Arid Agriculture University, Rawalpindi, Pakistan.
Abstract
In wireless network, the deployment of drone based Unmanned Aerial Vehicles (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 kind of 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, and operate in dangerous environments, areas that have natural or unnatural disaster. Drones movement can be controlled and 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-ofsight (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 tries to find out the best position of DBS in a micro cell environment by using K-means clustering. While establishing the voronoi polygon as micro-cell, it provides increase in capacity and optimal coverage in the entire service area because of area reduction.
Publication Details
Page(s) 45-51
DOI DOI not available
Published Journal: Technical Journal, Volume: 27, Issue: 2, Year: 2022

Request the full text from PASTIC

Keywords
Drone Base Station, Cellular Coverage
0

Citations

0

Downloads

16

Views