Ground-Air-Space Networks Relying on Real Flight Data

Research Overview

The original flight-data page studies integrated ground–air–space connectivity using six altitude layers. Aircraft act as moving relays, enabling direct and multihop paths between terrestrial stations and satellites.

Fig. 1. Ground–air–space network framework spanning six altitude layers.

Single-Objective Optimisations

The single-objective formulation minimises routing delay subject to minimum link-rate requirements using a weighted graph and a shortest-path search. It is evaluated using historical North Atlantic flight trajectories.

Multi-Objective Optimisations

Multi-objective routing examines the Pareto trade-off between latency, throughput and other performance indicators. Near-Pareto algorithms are assessed against flight statistics and conventional optimisation benchmarks.

Fig. 2. Comparison of key performance indicators across mobile-network generations, as presented in the original research page.

Related Publications

1. J. Cui, D. Liu, J. Zhang, H. Yetgin, S. X. Ng, R. G. Maunder and L. Hanzo, “Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Real Flight Data in the North-Atlantic Region”, IEEE Open Journal of Vehicular Technology, vol. 2, pp. 310–320, 2021. Full paper.
2. J. Cui, H. Yetgin, D. Liu, J. Zhang, S. X. Ng and L. Hanzo, “Twin-Component Near-Pareto Routing Optimization for AANETs in the North-Atlantic Region Relying on Real Flight Statistics”, IEEE Open Journal of Vehicular Technology, 2021. Full paper.
3. J. Cui, S. X. Ng, D. Liu, J. Zhang, A. Nallanathan and L. Hanzo, “Multi-objective Optimization for Integrated Ground-Air-Space Networks”, IEEE Vehicular Technology Magazine, 2021. Full paper.