Performance Analysis of Active Reconfigurable Intelligent Surface-Aided URLLC Systems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

  • Manlin Fang
  • Jianqing Li
  • Yuanwei Liu
  • Zhen Chen
  • Xiu Yin Zhang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)17842-17847
Journal / PublicationIEEE Transactions on Vehicular Technology
Volume73
Issue number11
Online published9 Jul 2024
Publication statusPublished - Nov 2024

Abstract

In this paper, we investigate an active reconfigurable intelligent surfaces (RIS)-aided ultra-reliable low-latency communication (URLLC) system, where the active RIS can amplify the incident signals rather than only reflecting them has done in passive modules. By utilizing the Jensen's inequality and the moment-matching method, two closed-form expressions for the average achievable rate and the average decoding error probability are derived with the optimal shift-phase and the optimal amplification factor. Moreover, the derived expressions are utilized to provide some insights, including the power scaling law, the high signal-to-noise ratio (SNR) slope and the diversity order. Simulation results show that the performance of the small-scale active RIS significantly outperforms the large-scale passive RIS in the URLLC system. © 2024 IEEE.

Research Area(s)

  • achievable rate, Active reconfigurable intelligent surface (RIS), decoding error probability, ultra-reliable low-latency communication (URLLC)

Citation Format(s)

Performance Analysis of Active Reconfigurable Intelligent Surface-Aided URLLC Systems. / Fang, Manlin; Li, Jianqing; Liu, Yuanwei et al.
In: IEEE Transactions on Vehicular Technology, Vol. 73, No. 11, 11.2024, p. 17842-17847.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review