The University of Southampton
University of Southampton Institutional Repository

Semi-stochastic aircraft mobility modelling for aeronautical networks: An Australian case-study based on real flight data

Semi-stochastic aircraft mobility modelling for aeronautical networks: An Australian case-study based on real flight data
Semi-stochastic aircraft mobility modelling for aeronautical networks: An Australian case-study based on real flight data
Terrestrial Internet access is gradually becoming the norm across the globe. However, there is a growing demand for Internet access of passenger airplanes. Hence, it is essential to develop aeronautical networks above the clouds. Therefore the conception of an aircraft mobility model is one of the prerequisite for aeronautical network design and optimization. However, there is a paucity of realistic aircraft mobility models capable of generating large-scale flight data. To fill this knowledge-gap, we develop a semi-stochastic aircraft mobility model based on large-scale real historical Australian flights acquired both on June 29th, 2018 and December 25th, 2018, which represent the busiest day and the quietest day of 2018, respectively. The semi-stochastic aircraft mobility model is capable of generating an arbitrary number of flights, which can emulate the specific features of aircraft mobility. The semi-stochastic aircraft mobility model was then analysed and validated both by the physical layer performance and network layer performance in the case study of Australian aeronautical networks, demonstrating that it is capable of reflecting the statistical characteristics of the real historical flights.
0018-9545
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Liu, Dong
889643f2-afeb-4479-bd41-3ccedd53d89d
Cui, Jingjing
dbe3c3ed-762f-4abf-bd7b-8d2737f2f0fc
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Graeupl, Thomas
03c34747-542b-4dcc-91c7-8a7708b35f86
Uwe, Carsten-Fiebig
a248687b-9ee8-447a-90d9-a6513005e97f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Liu, Dong
889643f2-afeb-4479-bd41-3ccedd53d89d
Cui, Jingjing
dbe3c3ed-762f-4abf-bd7b-8d2737f2f0fc
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Graeupl, Thomas
03c34747-542b-4dcc-91c7-8a7708b35f86
Uwe, Carsten-Fiebig
a248687b-9ee8-447a-90d9-a6513005e97f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Jiankang, Xiang, Luping, Liu, Dong, Cui, Jingjing, Ng, Soon Xin, Maunder, Robert, Graeupl, Thomas, Uwe, Carsten-Fiebig and Hanzo, Lajos (2021) Semi-stochastic aircraft mobility modelling for aeronautical networks: An Australian case-study based on real flight data. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2021.3104118).

Record type: Article

Abstract

Terrestrial Internet access is gradually becoming the norm across the globe. However, there is a growing demand for Internet access of passenger airplanes. Hence, it is essential to develop aeronautical networks above the clouds. Therefore the conception of an aircraft mobility model is one of the prerequisite for aeronautical network design and optimization. However, there is a paucity of realistic aircraft mobility models capable of generating large-scale flight data. To fill this knowledge-gap, we develop a semi-stochastic aircraft mobility model based on large-scale real historical Australian flights acquired both on June 29th, 2018 and December 25th, 2018, which represent the busiest day and the quietest day of 2018, respectively. The semi-stochastic aircraft mobility model is capable of generating an arbitrary number of flights, which can emulate the specific features of aircraft mobility. The semi-stochastic aircraft mobility model was then analysed and validated both by the physical layer performance and network layer performance in the case study of Australian aeronautical networks, demonstrating that it is capable of reflecting the statistical characteristics of the real historical flights.

Text
final
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 9 August 2021
e-pub ahead of print date: 11 August 2021

Identifiers

Local EPrints ID: 450888
URI: http://eprints.soton.ac.uk/id/eprint/450888
ISSN: 0018-9545
PURE UUID: b64b7e36-a4ae-4134-8910-59ee48dbbc0a
ORCID for Jiankang Zhang: ORCID iD orcid.org/0000-0001-5316-1711
ORCID for Luping Xiang: ORCID iD orcid.org/0000-0003-1465-6708
ORCID for Dong Liu: ORCID iD orcid.org/0000-0002-0619-1480
ORCID for Soon Xin Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for Robert Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 18 Aug 2021 16:32
Last modified: 16 Sep 2021 11:13

Export record

Altmetrics

Contributors

Author: Jiankang Zhang ORCID iD
Author: Luping Xiang ORCID iD
Author: Dong Liu ORCID iD
Author: Jingjing Cui
Author: Soon Xin Ng ORCID iD
Author: Robert Maunder ORCID iD
Author: Thomas Graeupl
Author: Carsten-Fiebig Uwe
Author: Lajos Hanzo ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×