University of Oulu

S. Iellamo, J. J. Lehtomaki and Z. Khan, "Placement of 5G Drone Base Stations by Data Field Clustering," 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, NSW, 2017, pp. 1-5. doi: 10.1109/VTCSpring.2017.8108590

Placement of 5G drone base stations by data field clustering

Saved in:
Author: Iellamo, Stefano1; Lehtomäki, Janne J.2; Khan, Zaheer3
Organizations: 1ICS-FORTH Leof. Plastira 100, Greece
2University of Oulu, Centre for Wireless Communications, Finland
3University of Liverpool, EEE Department, UK
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.4 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-10-02


We consider the problem of complementing the capacity of an existing network of macro base stations by dynamically placing a network of 5G small base stations in the form of Unnamed Aerial Vehicles UAV (better known as drones). Our goal is to maximize the capacity boost provided by the UAVs in each considered time frame and extend the battery life of the served mobile users. With this in mind, we propose two clustering algorithms that build on mobile users’ spatio-temporal data excess demand (here intended as the portion of demand which is not satisfactory addressed by the existing macro base stations). For the numerical analysis, we use real Beijing downtown trajectory data. The obtained results show that our algorithms perform well and can be considered for enabling real time connection provisioning.

see all

Series: IEEE Vehicular Technology Conference
ISSN: 1550-2252
ISSN-L: 1550-2252
ISBN: 978-1-5090-5932-4
ISBN Print: 978-1-5090-5933-1
Pages: 1 - 5
DOI: 10.1109/VTCSpring.2017.8108590
Host publication: 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, Australia 4-7 June 2017
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: S.Iellamo is supported by the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no 612361.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.