Enhancement of link range for fso ground to train communications using multiple transmitters concept

  • Wafi A. Mabrouk
  • , M. F.L. Abdullah
  • , M. S.M. Gismalla

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

9 Scopus citations

Abstract

Nowadays, there is a rapid demand for high-speed internet access on high-speed trains. Free space optical communication technology has the potential to meet that demand, due to its ease of deployment, unlimited bandwidth, and extremely high throughput. In this paper, we propose an enhancement of free space optical link model link range by implementing multiple transmitters concept. Our proposed model is evaluated in terms of received power, bit error rate, link margin and the required number of base stations. Simulation is conducted under various weather conditions also. By comparing the performance of single, dual, triple and quad transmitters under various rain and for attenuation levels link range was significantly improved. Additionally, the required number of base stations to achieve acceptable FSO communication link at BER of10-9 was significantly reduced.

Original languageEnglish
Title of host publication2019 International Conference on Information Science and Communication Technology, ICISCT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728104478
DOIs
StatePublished - Mar 2019
Externally publishedYes

Publication series

Name2019 International Conference on Information Science and Communication Technology, ICISCT 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Atmospheric attenuation
  • FSO
  • G2T
  • Ground to train communications
  • Link margin

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications

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