Energy reduction using multi-channels optical wireless communication based OFDM

Laialy Darwesh, Shlomi Arnon

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

Abstract

In recent years, an increasing number of data center networks (DCNs) have been built to provide various cloud applications. Major challenges in the design of next generation DC networks include reduction of the energy consumption, high flexibility and scalability, high data rates, minimum latency and high cyber security. Use of optical wireless communication (OWC) to augment the DC network could help to confront some of these challenges. In this paper we present an OWC multi channels communication method that could lead to significant energy reduction of the communication equipment. The method is to convert a high speed serial data stream to many slower and parallel streams and vies versa at the receiver. We implement this concept of multi channels using optical orthogonal frequency division multiplexing (O-OFDM) method. In our scheme, we use asymmetrically clipped optical OFDM (ACO-OFDM). Our results show that the realization of multi channels OFDM (ACO-OFDM) methods reduces the total energy consumption exponentially, as the number of channels transmitted through them rises.

Original languageAmerican English
Title of host publicationAdvanced Free-Space Optical Communication Techniques and Applications III
EditorsHenry J. White, Florian Moll
PublisherSPIE
ISBN (Electronic)9781510613386
DOIs
StatePublished - 1 Jan 2017
EventAdvanced Free-Space Optical Communication Techniques and Applications III 2018 - Warsaw, Poland
Duration: 11 Sep 201812 Sep 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10437

Conference

ConferenceAdvanced Free-Space Optical Communication Techniques and Applications III 2018
Country/TerritoryPoland
CityWarsaw
Period11/09/1812/09/18

All Science Journal Classification (ASJC) codes

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

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