Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks: An Australian Case-Study Based on Real Flight Data
Authors: Zhang, J., Xiang, L., Liu, D., Cui, J., Ng, S.X., Maunder, R.G., Graeupl, T., Carsten-Fiebig, U. and Hanzo, L.
Journal: IEEE Transactions on Vehicular Technology
Volume: 70
Issue: 10
Pages: 10763-10779
eISSN: 1939-9359
ISSN: 0018-9545
DOI: 10.1109/TVT.2021.3104118
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.
https://eprints.bournemouth.ac.uk/35880/
Source: Scopus
Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks: An Australian Case-Study Based on Real Flight Data
Authors: Zhang, J., Xiang, L., Liu, D., Cui, J., Ng, S.X., Maunder, R.G., Graeupl, T., Carsten-Fiebig, U. and Hanzo, L.
Journal: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume: 70
Issue: 10
Pages: 10763-10779
eISSN: 1939-9359
ISSN: 0018-9545
DOI: 10.1109/TVT.2021.3104118
https://eprints.bournemouth.ac.uk/35880/
Source: Web of Science (Lite)
Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks: An Australian Case-Study Based on Real Flight Data
Authors: Zhang, J., Xiang, L., Liu, D., Cui, J., Ng, S.X., Maunder, R.G., Graeupl, T., Carsten-Fiebig, U. and Hanzo, L.
Journal: IEEE Transactions on Vehicular Technology
Publisher: IEEE
ISSN: 0018-9545
https://eprints.bournemouth.ac.uk/35880/
Source: Manual
Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks: An Australian Case-Study Based on Real Flight Data
Authors: Zhang, J., Xiang, L., Liu, D., Cui, J., Ng, S.X., Maunder, R.G., Graeupl, T., Carsten-Fiebig, U. and Hanzo, L.
Journal: IEEE Transactions on Vehicular Technology
Volume: 70
Issue: 10
Pages: 10763-10779
ISSN: 0018-9545
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.
https://eprints.bournemouth.ac.uk/35880/
Source: BURO EPrints