Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks

Najafi Kalyani M, Ajam H, Jamali Kooshkghazi V, Diamantoulakis PD, Karagiannidis GK, Schober R (2018)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2018

Event location: Kansas City, MO

ISBN: 978-1-5386-3180-5

DOI: 10.1109/ICC.2018.8422552

Abstract

We consider a drone-based communication network, where several drones hover above an area and serve as mobile remote radio heads for a large number of mobile users. We assume that the drones employ free space optical (FSO) links for fronthauling of the users' data to a central unit. The main focus of this paper is to quantify the geometric loss of the FSO channel arising from random fluctuation of the position and orientation of the drones. In particular, we derive upper and lower bounds, corresponding approximate expressions, and a closed-form statistical model for the geometric loss. Simulation results validate our derivations and quantify the FSO channel quality as a function of the drone's instability, i.e., the variation of its position and orientation.

Authors with CRIS profile

Involved external institutions

Southwest Jiaotong University / 西南交通大学 China (CN) Aristotle University of Thessaloniki Greece (GR)

How to cite

APA:

Najafi Kalyani, M., Ajam, H., Jamali Kooshkghazi, V., Diamantoulakis, P.D., Karagiannidis, G.K., & Schober, R. (2018). Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks. In IEEE (Eds.), Proceedings of the 2018 IEEE International Conference on Communications (ICC). Kansas City, MO, US.

MLA:

Najafi Kalyani, Marzieh, et al. "Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks." Proceedings of the 2018 IEEE International Conference on Communications (ICC), Kansas City, MO Ed. IEEE, 2018.

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