Adaptif Çok Vericili Serbest Uzay Optik Haberleşme Sistemi

Translated title of the contribution: Adaptive free space optical communication system with multiple apertures

Hatef Nouri, Murat Uysal

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

Abstract

In the current literature on free space optical (FSO) communication, typically open-loop designs are considered where the knowledge of channel state information is only available at the receiver. This is mostly favorable in the context of time-varying channels where the feedback implementation becomes problematic. Atmospheric turbulence channels in FSO systems exhibit quasi-static nature. The feedback information can be reliably transmitted, therefore makes possible the use of channel state information at the transmitter side. Such close-loop systems where transmission parameters are adaptively adjusted according to the channel conditions are widely used in radio frequency wireless communications. In this work, we consider adaptive transmission techniques in the context of FSO systems with multiple apertures and investigate their performance.

Translated title of the contributionAdaptive free space optical communication system with multiple apertures
Original languageUndefined
Title of host publication2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages937-940
Number of pages4
ISBN (Electronic)9781509016792
DOIs
StatePublished - Jun 20 2016
Event24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey
Duration: May 16 2016May 19 2016

Publication series

Name2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

Conference

Conference24th Signal Processing and Communication Application Conference, SIU 2016
Country/TerritoryTurkey
CityZonguldak
Period5/16/165/19/16

Keywords

  • Adaptive transmission
  • free space optical communication

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications
  • Computer Science Applications

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