Accurate Approximation to Channel Distributions of Cascaded RIS-Aided Systems With Phase Errors Over Nakagami-m Channels

Zhandos Zhakipov, Khaled M. Rabie, Xingwang Li, Galymzhan Nauryzbayev

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Reconfigurable intelligent surfaces (RISs) are a promising technology foreseen to drive the development of beyond-fifth-generation (B5G) wireless networks. This letter proposes a novel accurate approximation to the channel distribution of cascaded RIS-aided wireless networks, with a reasonable assumption of phase errors, over Nakagami- m fading channels. Using the approximation, the probability density function (PDF) and outage probability (OP) expressions are derived for the end-to-end cascaded RIS-aided communication. Obtained PDF and OP formulas are valid for any number of cascaded RISs, n , and reflecting elements per individual RIS, N. The approximation accuracy is validated using the Kolmogorov-Smirnov goodness-of-fit test. Analytical results are verified by Monte Carlo simulations under different system parameters. Finally, derived expressions have been used to illustrate the impact of various important system parameters on the outage performance of the proposed system.

Original languageEnglish
Pages (from-to)922-926
Number of pages5
JournalIEEE Wireless Communications Letters
Volume12
Issue number5
DOIs
Publication statusPublished - May 1 2023

Keywords

  • Accurate approximation
  • channel distribution
  • outage probability (OP)
  • reconfigurable intelligent surface (RIS)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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