Coverage probability of RIS-assisted mmWave cellular networks under blockages: A stochastic geometric approach

Saeed Bagherinejad, Mahdi Bayanifar, Milad Sattari Maleki, Behrouz Maham*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
15 Downloads (Pure)

Abstract

In this paper, we consider a downlink millimeter-wave (mmWave)-based cellular network where some of the objects in the environment that block the links, such as buildings, are equipped with reflective intelligent surfaces (RISs). Leveraging tools from stochastic geometry, we model the locations of the base stations (BSs) using homogeneous Poisson Point Processes and blockages are modeled by line Boolean model. We consider different path loss exponents for the line of sight (LOS) and non-LOS (NLOS) links. A typical user located at the origin can be served directly with LOS or NLOS BS or by using the RIS relay and a BS. By considering the minimum path loss criteria, after deriving the user association probability with RIS or direct link, we derive the coverage probability of the system using stochastic geometry. Simulation results show that using the RIS results in significant performance improvement especially in the case that the density of the blockages is high. The performance increment is even more substantial for high SINR threshold, e.g. the coverage probability for blockage density of 700 blockages per km2 and SINR threshold of 20dB is twice the case that RISs are not employed.

Original languageEnglish
Article number101740
Number of pages9
JournalPhysical Communication
Volume53
DOIs
Publication statusPublished - Aug 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Blockage
  • Coverage probability
  • Millimeter wave
  • Reflective intelligent surfaces
  • Stochastic geometry

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