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Placement of 5G drone base stations by data field clustering |
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| 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: | http://urn.fi/urn:nbn:fi-fe2018100237100 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2017
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| Publish Date: | 2018-10-02 |
| Description: |
AbstractWe 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
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| 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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| 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.
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