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Active-IRS Aided Wireless Network: System Modeling and Performance Analysis
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DOI：10.1109/LCOMM.2022.3221116.png)
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Abstract
En 中文
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.
Keywords:
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
Journal
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