Equalization techniques for visible light communication system

Asim Zafar, Arslan Khalid, Hafiz M. Asif

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

10 Citations (Scopus)

Abstract

Visible Light Communication (VLC) is an emerging technology to leverage the heavy data loads on over traditional RF technologies. It can be used for dual purposes, i.e., data transmission in addition with illumination. In this paper, performance of Non Line of Sight (NLOS) VLC channel has been investigated under different equalization schemes. The objective has been to explore an efficient equalization this is both performance-efficient and less complex. In this regard, Fractionally spaced equalization (FSE) has been employed for indoor VLC channel and compared with other existing equalization schemes. The simulation results show that the slope of the curve of FSE bit error rate (BER) is parallel to that of Maximum Likelihood (ML) equalizer with much less complexity. Moreover, FSE outperforms all other existing equalizers.

Original languageEnglish
Title of host publication2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538608722
DOIs
Publication statusPublished - Jun 28 2017
Externally publishedYes
Event2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017 - Ras Al Khaimah, United Arab Emirates
Duration: Nov 21 2017Nov 23 2017

Publication series

Name2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
Volume2018-January

Conference

Conference2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period11/21/1711/23/17

Keywords

  • Bit-error-rate (BER)
  • Fractionally Spaced Equalizer (FSE)
  • Non-Line-of-sight (NLOS)
  • Visible Light Communication (VLC)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Science Applications

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