Error performance analysis of FSO links with equal gain diversity receivers over double generalized gamma fading channels

Mohammadreza Aminikashani, Mohsen Kavehrad, Wenjun Gu

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

8 Scopus citations

Abstract

Free space optical (FSO) communication has been receiving increasing attention in recent years with its ability to achieve ultra-high data rates over unlicensed optical spectrum. A major performance limiting factor in FSO systems is atmospheric turbulence which severely degrades the system performance. To address this issue, multiple transmit and/or receive apertures can be employed, and the performance can be improved via diversity gain. In this paper, we investigate the bit error rate (BER) performance of FSO systems with transmit diversity or receive diversity with equal gain combining (EGC) over atmospheric turbulence channels described by the Double Generalized Gamma (Double GG) distribution. The Double GG distribution, recently proposed, generalizes many existing turbulence models in a closed-form expression and covers all turbulence conditions. Since the distribution function of a sum of Double GG random variables (RVs) appears in BER expression, we first derive a closed-form upper bound for the distribution of the sum of Double GG distributed RVs. A novel union upper bound for the average BER as well as corresponding asymptotic expression is then derived and evaluated in terms of Meijers G-functions.

Original languageEnglish (US)
Title of host publicationBroadband Access Communication Technologies X
EditorsKatsutoshi Tsukamoto, Benjamin B. Dingel
PublisherSPIE
ISBN (Electronic)9781510600072
DOIs
StatePublished - 2016
EventBroadband Access Communication Technologies X - San Francisco, United States
Duration: Feb 16 2016Feb 17 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9772
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherBroadband Access Communication Technologies X
Country/TerritoryUnited States
CitySan Francisco
Period2/16/162/17/16

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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