Intelligent Reflecting Surfaces Assisted UAV Communications for IoT Networks: Performance Analysis

Abdulla Mahmoud, Sami Muhaidat, Paschalis Sofotasios, Ibrahim Abualhaol, Octavia A. Dobre, Halim Yanikomeroglu

Research output: Contribution to journalArticleScientificpeer-review

92 Citations (Scopus)
56 Downloads (Pure)

Abstract

The increasing demand for wireless connectivity and the emergence of the notion of the Internet of Everything require new communication paradigms that will ultimately enable a plethora of new applications and new disruptive technologies. In this context, the present contribution investigates the use of the recently introduced intelligent reflecting surface (IRS) concept in unmanned aerial vehicles (UAV) enabled communications aiming to extend the network coverage and improve the communication reliability as well as spectral efficiency of Internet of Things (IoT) networks. In particular, we first derive tractable analytic expressions for the achievable symbol error rate (SER), ergodic capacity, and outage probability of the considered set up. Following this, we also derive tight upper and lower bounds on the average signal-to-noise ratio (SNR). Our derivations are then compared with the corresponding asymptotic performance, based on the central limit theorem (CLT) assumption, which reveals that the asymptotic SNR falls within the area between derived bounds, and approaches either bound depending on the number of reflective elements (REs). We further show that the asymptotic SER becomes in a tight agreement with the corresponding exact simulation SER for N≥16. In addition, the offered results demonstrate that the use of the IRS is significantly effective as they assist in improving the achievable SER by five orders of magnitude. We further demonstrate that, in terms of achievable ergodic capacity, IRS-assisted UAV communication systems can exhibit ten times higher capacity compared to conventional UAV communications. Based on the above, these results and related insights are anticipated to be useful in the design and deployment of IRS-assisted UAV systems in the context of beyond 5G communications, such as 6G communications.

Original languageEnglish
Pages (from-to)1029-1040
Number of pages12
JournalIEEE Transactions on Green Communications and Networking
Volume5
Issue number3
DOIs
Publication statusPublished - 2021
Publication typeA1 Journal article-refereed

Keywords

  • Array signal processing
  • Channel capacity
  • Green products
  • intelligent reflecting surface (IRS)
  • Internet of Everything (IoE).
  • Internet of Things
  • Internet of Things (IoT)
  • outage probability
  • Power system reliability
  • Signal to noise ratio
  • symbol error rate
  • System performance
  • Unmanned aerial vehicles
  • unmanned aerial vehicles (UAVs)

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Computer Networks and Communications

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