Paper Info
Title
Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
Abstract
Unmanned aerial vehicles (UAVs) have recently emerged as enablers for multitude use cases in 5G networks, one of which utilizes them as aerial base stations to intermittently serve mobile users in emergency situations or hard-to-reach areas. In this work, we address the problem of deploying multiple UAVs optimally in 3D space while autonomously adapting their positions as users move around within the network. We propose a novel approach with the objective of deploying the least number of UAVs to maintain target quality of service requirements. The problem of positioning UAVs in a 3D space is formulated as a mixed integer programming problem (MIP). To obtain an efficient solution, we propose and evaluate an autonomous positioning algorithm that can easily adapt as the users move within a specific area in the network. We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. The simulation results demonstrate the effectiveness of the proposed algorithm compared to the optimal solution and related work in the literature for various network scenarios with user mobility.
Year
DOI
Venue
2019
10.1109/ISCC47284.2019.8969768
2019 IEEE Symposium on Computers and Communications (ISCC)
Keywords
Field
DocType
autonomous positioning algorithm,random walk mobility model,user mobility,autonomous 3D deployment,aerial base stations,wireless networks,unmanned aerial vehicles,emergency situations,hard-to-reach areas,multiple UAVs,mixed integer programming problem,MIP,5G networks,3D space
Wireless network,Base station,Use case,Software deployment,Random walk,Computer science,Quality of service,Computer network,Mobility model,Integer programming,Distributed computing
Conference
ISSN
ISBN
Citations 
1530-1346
978-1-7281-3000-2
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Rania Islambouli131.38
sanaa sharafeddine214523.26