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Intelligent Reflecting Surfaces Based Offset Index Modulation for MIMO Systems

  • Guoying Zhang
  • , Xue Qin Jiang
  • , Han Hai
  • , Lexi Xu
  • , Shahid Mumtaz
  • Donghua University
  • China Unicom (Hong Kong) Ltd.
  • Nottingham Trent University

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

In this paper, we introduce the concept of offset to the field of intelligent reflecting surfaces-based index modulation (IRS-IM) and propose an IRS-based offset IM (IRS-OIM) scheme. The IRS-OIM scheme not only divides the IRS elements into several blocks but also introduces an offset at the transmitter while reducing the number of IRS controller operations. Furthermore, we develop three offset IRS block selection (OIBS) approaches to adapt to different numbers of activated IRS blocks for IRS-OIM. Compared with IRS-IM, the IRS-OIM increases the reliability of information transmission and ensures a high effective gain for the IRS while increasing the data transmission rate. In addition, the mathematical expression for the average bit error probability (ABEP) of the IRS-OIM scheme is deduced. Comparison between IRS-OIM and their counterparts in terms of complexity is also provided. Monte Carlo simulation results demonstrate the superiority of the proposed IRS-OIM scheme, and show that IRS-OIM achieves more balanced trade-off among complexity and performance than their counterparts.

Original languageEnglish
Pages (from-to)11735-11742
Number of pages8
JournalIEEE Transactions on Vehicular Technology
Volume73
Issue number8
DOIs
Publication statusPublished - 2024

Keywords

  • Average bit error probability (ABEP)
  • intelligent reflecting surface (IRS)
  • multiple-input multiple-output (MIMO)
  • offset index modulation (OIM)

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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