Experimental performance analysis of network coding in wireless systems

Shahzaib Qazi, Syed Muhammad Zain Zafar, Atif Salman, Syed Ali Hassan, Dushantha Nalin K. Jayakody

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

2 Citations (Scopus)

Abstract

Network coding (NC) holds great significance in the upcoming 5G paradigm because of the potential improvements it offers in terms of network throughput, energy efficiency and data security. However, the evidence for these potential advantages comes mainly from within a theoretical framework or is based on simulations; there is a paucity of empirical evidence. Secondly, few works have evaluated NC in terms of its impacts on both throughput and bit error rate (BER) simultaneously. The work outlined in this paper addresses both of the aforementioned issues. We implement both the NC and non-NC schemes for a communication system in the context of n-source multiple-input single- output (MISO) topologies on software-defined radios (SDRs). The performances of the two schemes have been compared in terms of BER, throughput and goodput or useful throughput. Our results show that the goodput improvement in NC when compared to non-NC is more pronounced at higher transmitter (TX) gains and that below a certain TX gain threshold, non-NC should be preferred over NC.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2018-June
ISBN (Electronic)9781538663554
DOIs
Publication statusPublished - 20 Jul 2018
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 3 Jun 20186 Jun 2018

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
CountryPortugal
CityPorto
Period3.6.186.6.18

Keywords

  • BER
  • GNU Radio
  • multiple-input single-output
  • Network coding
  • two-way relay channel
  • USRP

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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