More robust decode-and-forward relaying over impulsive noise power line channels

  • Khaled M. Rabie
  • , Bamidele Adebisi
  • , Andrea M. Tonello
  • , Galymzhan Nauryzbayev

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

1 Scopus citations

Abstract

This paper discusses the issue of energy-efficiency in power line communication (PLC) systems and introduces decode-and-forward (DF) energy-harvesting based relaying. The performance of the proposed system is analyzed in terms of the energy efficiency for which accurate analytical expressions are derived. To highlight the achievable gains, we also evaluate the performance of both the conventional DF relaying and the direct-link systems. The presented simulated results clearly demonstrate the correctness of our analysis as well as the advantage of the proposed system over the conventional relaying and direct-link approaches. Additionally, it is shown that the proposed scheme will become more energy efficient as the harvested noise energy becomes larger.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Power Line Communications and its Applications, ISPLC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023899
DOIs
StatePublished - 11 Apr 2017
Externally publishedYes
Event2017 IEEE International Symposium on Power Line Communications and its Applications, ISPLC 2017 - Madrid, Spain
Duration: 3 Apr 20175 Apr 2017

Publication series

Name2017 IEEE International Symposium on Power Line Communications and its Applications, ISPLC 2017

Conference

Conference2017 IEEE International Symposium on Power Line Communications and its Applications, ISPLC 2017
Country/TerritorySpain
CityMadrid
Period3/04/175/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Decode-and-forward relaying
  • Energy efficiency
  • Energy-harvesting
  • Impulsive noise
  • Log-normal fading
  • Power line communication (PLC)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology

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