Skip to main navigation Skip to search Skip to main content

Wireless Network Coding with Intelligent Reflecting Surfaces

  • King Abdullah University of Science and Technology
  • Sinai University

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

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
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

Fingerprint

Dive into the research topics of 'Wireless Network Coding with Intelligent Reflecting Surfaces'. Together they form a unique fingerprint.

Cite this