Active-IRS Aided Wireless Network: System Modeling and Performance Analysis

Yunli Li; Changsheng You; Young Jin Chun

doi:10.1109/LCOMM.2022.3221116

Active-IRS Aided Wireless Network : System Modeling and Performance Analysis

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

25 Scopus Citations

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Author(s)

Yunli Li
Changsheng You
Young Jin Chun

Related Research Unit(s)

Department of Electrical Engineering

Detail(s)

Original language	English
Pages (from-to)	487-491
Journal / Publication	IEEE Communications Letters
Volume	27
Issue number	2
Online published	9 Nov 2022
Publication status	Published - Feb 2023

Link(s)

DOI	DOI https://doi.org/10.1109/LCOMM.2022.3221116 Final Published version
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Attachment(s)	Documents 107552499.pdf Post-print, 664 KB, PDF Publisher's Copyright Statement COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Li, Y., You, C., & Chun, Y. J. (2023). Active-IRS Aided Wireless Network: System Modeling and Performance Analysis. IEEE Communications Letters, 27(2), 487-491. https://doi.org/10.1109/LCOMM.2022.3221116
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85141588561&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(38c6d10a-c50f-467f-a0fe-c07830a1ecc2).html

Abstract

Active intelligent reflecting surface (IRS) enables flexible signal reflection control with power amplification, thus effectively compensating the product-distance path-loss in conventional passive-IRS aided systems. In this letter, we characterize the communication performance of an active-IRS aided single-cell wireless network. To this end, we first propose a customized IRS deployment strategy, where the active IRSs are uniformly deployed within a ring concentric with the cell to serve the users far from the base station. Next, given the Nakagami-m fading channel, we characterize the cascaded active-IRS channel by using the mixture Gamma distribution approximation and derive a closed-form expression for the mean signal-to-noise ratio (SNR) at the user averaged over channel fading. Moreover, we numerically show that to maximize the system performance, it is necessary to choose a proper active-IRS density given a fixed number of total reflecting elements, which significantly differs from the passive-IRS case for which the centralized IRS deployment scheme is better. Furthermore, the active-IRS aided wireless network achieves higher spatial throughput than the passive-IRS counterpart when the total number of reflecting elements is small.