Unified Statistical Channel Model of Ship (or Shore)-to-Ship FSO Communications with Pointing Errors

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we assume free space optical link between ships or between ship and shore and modeled the pointing error that occurs according to three typical movements of the ship. Then, we combined the pointing error models with weak atmospheric turbulence and derived the composite probability density functions (PDF) for each case of pointing errormodels. Also, using the similarity of the composite PDFs, we obtain a unified expression for the composite PDF. The numerical results confirm that the derived composite PDFs give precise prediction by comparing it with Monte-Carlo simulations.

Original languageEnglish
Title of host publication2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728108643
DOIs
Publication statusPublished - 2019 Oct
Event2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019 - Granada, Spain
Duration: 2019 Oct 282019 Oct 30

Publication series

Name2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019

Conference

Conference2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019
CountrySpain
CityGranada
Period19/10/2819/10/30

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

Cite this

Jung, K. J., Nam, S. S., Alouini, M. S., & Ko, Y. C. (2019). Unified Statistical Channel Model of Ship (or Shore)-to-Ship FSO Communications with Pointing Errors. In 2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019 [8931342] (2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCN.2019.8931342