Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks

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Details zur Publikation

Autorinnen und Autoren: Najafikalyani M, Ajam H, Jamali Kooshkghazi V, Diamantoulakis PD, Karagiannidis GK, Schober R
Herausgeber: IEEE
Jahr der Veröffentlichung: 2018
ISBN: 978-1-5386-3180-5
ISSN: 1938-1883
Sprache: Englisch


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.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Ajam, Hedieh
Lehrstuhl für Digitale Übertragung
Jamali Kooshkghazi, Vahid Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Najafikalyani, Marzieh
Lehrstuhl für Digitale Übertragung
Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung


Einrichtungen weiterer Autorinnen und Autoren

Aristotle University of Thessaloniki
Southwest Jiaotong University / 西南交通大学


Zitierweisen

APA:
Najafikalyani, 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:
Najafikalyani, 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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Zuletzt aktualisiert 2019-11-08 um 12:10