Wireless Network Coding with Intelligent Reflecting Surfaces

Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed Slim Alouini

Research output: Contribution to journalArticlepeer-review

Abstract

Conventional wireless techniques are becoming inadequate for beyond-5G networks due to latency and bandwidth considerations. To improve the error performance of wireless communication systems, we propose physical layer network coding (PNC) in an intelligent reflecting surface (IRS)-assisted environment. We consider an IRS-aided butterfly network, where we propose an algorithm for obtaining the optimal IRS phases. Analytic expressions for the bit error rate (BER) are derived. Numerical results demonstrate that the proposed scheme significantly improves the BER performance. For instance, the BER at the relay in the presence of a 32-element IRS is three orders of magnitudes less than that without an IRS.

Original languageEnglish (US)
Pages (from-to)3427-3431
Number of pages5
JournalIEEE Communications Letters
Volume25
Issue number10
DOIs
StatePublished - Oct 1 2021

Keywords

  • Intelligent reflecting surfaces
  • butterfly network
  • network coding
  • performance analysis

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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