Performance of Optical Wireless Communications with Spatial Diversity over Fisher-Snedecor Turbelence Channels

Wenhui Zeng, Theodoros A. Tsiftsis

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Atmospheric turbulence and misalignment fading due to pointing errors severely degrade the performance of free-space optics (FSO) communications. To mitigate these issues and leverage the benefits of spatial diversity, multiple antennas can be employed at the transmitter and/or receiver of the optical communication link. Spatial diversity serves as critical technology to enhance communication performance of optical wireless systems, especially in strong turbulence channels. In this research, we study the average bit error ratio (ABER) performance of FSO systems considering the Fisher-Snedecor F-modeled turbulence fading channels and pointing errors, and explore the potential benefits of spatial diversity at both ends of the optical link. Additionally, we provide an efficient approximate closed-form expression for the ABER of single input multiple output FSO systems.

Original languageEnglish
Title of host publication8th World Conference on Computing and Communication Technologies, WCCCT 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-60
Number of pages7
ISBN (Electronic)9798331512620
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event8th World Conference on Computing and Communication Technologies, WCCCT 2025 - Shenzhen, China
Duration: 11 Apr 202513 Apr 2025

Publication series

Name8th World Conference on Computing and Communication Technologies, WCCCT 2025

Conference

Conference8th World Conference on Computing and Communication Technologies, WCCCT 2025
Country/TerritoryChina
CityShenzhen
Period11/04/2513/04/25

Keywords

  • Atmospheric turbulence
  • average bit error ratio (ABER)
  • F distribution
  • free-space optical communication
  • optical wireless
  • spatial diversity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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