Ergodic Capacity Analysis of UAV-Based FSO Links Over Foggy Channels

Kug Jin Jung; Sung Sik Nam; Mohamed Slim Alouini; Young Chai Ko

doi:10.1109/LWC.2022.3175805

Ergodic Capacity Analysis of UAV-Based FSO Links Over Foggy Channels

Kug Jin Jung, Sung Sik Nam^*, Mohamed Slim Alouini, Young Chai Ko

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

In this letter, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based free space optics (FSO) links over random foggy channel. More specifically, we derive composite probability density function (PDF) and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound and asymptotic approximation of the ergodic capacity for the two possible detection techniques of intensity modulation/direct detection (IM/DD) and heterodyne detection at high and low signal-to-noise ratio (SNR) regimes. The numerical results confirm all the presented analytic results via computer-based Monte-Carlo simulations.

Original language	English (US)
Pages (from-to)	1483-1487
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	11
Issue number	7
DOIs	https://doi.org/10.1109/LWC.2022.3175805
State	Published - Jul 1 2022

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

Keywords

ergodic capacity
foggy channel
Free space optics (FSO)
unmanned aerial vehicle (UAV)

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2022.3175805

Cite this

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title = "Ergodic Capacity Analysis of UAV-Based FSO Links Over Foggy Channels",

abstract = "In this letter, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based free space optics (FSO) links over random foggy channel. More specifically, we derive composite probability density function (PDF) and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound and asymptotic approximation of the ergodic capacity for the two possible detection techniques of intensity modulation/direct detection (IM/DD) and heterodyne detection at high and low signal-to-noise ratio (SNR) regimes. The numerical results confirm all the presented analytic results via computer-based Monte-Carlo simulations.",

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AB - In this letter, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based free space optics (FSO) links over random foggy channel. More specifically, we derive composite probability density function (PDF) and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound and asymptotic approximation of the ergodic capacity for the two possible detection techniques of intensity modulation/direct detection (IM/DD) and heterodyne detection at high and low signal-to-noise ratio (SNR) regimes. The numerical results confirm all the presented analytic results via computer-based Monte-Carlo simulations.

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Ergodic Capacity Analysis of UAV-Based FSO Links Over Foggy Channels

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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