Statistical Modeling of FSO Fronthaul Channel for Drone-based Networks

October 31, 2017 Β· Declared Dead Β· πŸ› 2018 IEEE International Conference on Communications (ICC)

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Authors Marzieh Najafi, Hedieh Ajam, Vahid Jamali, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Robert Schober arXiv ID 1711.00120 Category cs.IT: Information Theory Citations 54 Venue 2018 IEEE International Conference on Communications (ICC) Last Checked 5 months ago
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.
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