TY - JOUR
T1 - Semi-Stochastic Aircraft Mobility Modelling for Aeronautical Networks
T2 - An Australian Case-Study Based on Real Flight Data
AU - Zhang, Jiankang
AU - Xiang, Luping
AU - Liu, Dong
AU - Cui, Jingjing
AU - Ng, Soon Xin
AU - Maunder, Robert G.
AU - Graeupl, Thomas
AU - Carsten-Fiebig, Uwe
AU - Hanzo, Lajos
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - 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.
AB - 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.
KW - Ad hoc networks
KW - aeronautical networks
KW - link life time
KW - mobility modelling
KW - network topology
UR - https://www.scopus.com/pages/publications/85117524216
U2 - 10.1109/TVT.2021.3104118
DO - 10.1109/TVT.2021.3104118
M3 - 文章
AN - SCOPUS:85117524216
SN - 0018-9545
VL - 70
SP - 10763
EP - 10779
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 10
ER -