Statistical Modeling of the FSO Fronthaul Channel for UAV-Based Communications
Najafi M, Ajam H, Jamali V, DIamantoulakis PD, Karagiannidis GK, Schober R (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 68
Pages Range: 3720-3736
Article Number: 9040587
Journal Issue: 6
DOI: 10.1109/TCOMM.2020.2981560
Abstract
In this paper, we investigate the statistics of the free space optics (FSO) communication channel between a hovering unmanned aerial vehicle (UAV) and a central unit. Two unique characteristics make UAV-based FSO systems significantly different from conventional FSO systems with static transceivers. First, for UAV-based FSO systems, the incident laser beam is not always orthogonal to the receiver lens plane. Second, both position and orientation of the UAV fluctuate over time due to dynamic wind load, inherent random air fluctuations in the atmosphere around the UAV, and internal vibrations of the UAV. On the contrary, for conventional FSO systems, the laser beam is always perpendicular to the receiver lens plane and the relative movement of the transceivers is limited. In this paper, we develop a novel channel model for UAV-based FSO systems by quantifying the corresponding geometric and misalignment losses (GML), while taking into account the non-orthogonality of the laser beam and the random fluctuations of the position and orientation of the UAV. In particular, for diverse weather conditions, we propose different fluctuation models for the position and orientation of the UAV and derive corresponding statistical models for the GML. We further analyze the performance of a UAV-based FSO link in terms of outage probability and ergodic rate and simplify the resulting analytical expressions for the high signal-to-noise ratio (SNR) regime. Finally, simulations validate the accuracy of the presented analysis and provide important insights for system design. For instance, we show that for a given variance of the fluctuations, the beam width should be properly adjusted to minimize the outage probability.
Authors with CRIS profile
Marzieh Najafi
Lehrstuhl für Digitale Übertragung
Hedieh Ajam
Lehrstuhl für Digitale Übertragung
Robert Schober
Lehrstuhl für Digitale Übertragung
Involved external institutions
Greece (GR)How to cite
APA:
Najafi, M., Ajam, H., Jamali, V., DIamantoulakis, P.D., Karagiannidis, G.K., & Schober, R. (2020). Statistical Modeling of the FSO Fronthaul Channel for UAV-Based Communications. IEEE Transactions on Communications, 68(6), 3720-3736. https://dx.doi.org/10.1109/TCOMM.2020.2981560
MLA:
Najafi, Marzieh, et al. "Statistical Modeling of the FSO Fronthaul Channel for UAV-Based Communications." IEEE Transactions on Communications 68.6 (2020): 3720-3736.
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