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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.
Original language | English |
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Pages (from-to) | 487-491 |
Journal | IEEE Communications Letters |
Volume | 27 |
Issue number | 2 |
Online published | 9 Nov 2022 |
DOIs | |
Publication status | Published - Feb 2023 |
Bibliographical note
Research Unit(s) information for this publication is provided by the author(s) concerned.Research Keywords
- active IRS
- Intelligent reflecting surface (IRS)
- mixture Gamma distribution
- spatial throughput
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
Fingerprint
Dive into the research topics of 'Active-IRS Aided Wireless Network: System Modeling and Performance Analysis'. Together they form a unique fingerprint.Projects
- 2 Active
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GRF: Tera-Hybrid: Integration of Intelligent Reflecting Surface and Unmanned Aerial Vehicle on Terahertz enabled Hybrid Network
CHUN, Y. J. (Principal Investigator / Project Coordinator)
1/10/22 → …
Project: Research
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ECS: A Holistic Investigation of Terahertz-enabled Wireless Networks
CHUN, Y. J. (Principal Investigator / Project Coordinator)
1/10/21 → …
Project: Research