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

Li, Yunli; You, Changsheng*; Chun, Young Jin
SCIE
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摘要

In this letter, we characterize the communication performance of an active-intelligent reflecting surface (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 given a fixed budget.

关键词

Wireless networks Signal to noise ratio Reflection Throughput Gamma distribution Rayleigh channels Performance analysis Intelligent reflecting surface (IRS) active IRS spatial throughput mixture Gamma distribution

出版信息

论文状态
公开发表
期刊名称
IEEE Communications Letters
发表日期
2023-2
卷
27
期
2
页码
487-491
DOI
10.1109/LCOMM.2022.3221116

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