Active-IRS Aided Wireless Network: System Modeling and Performance Analysis
Yunli Li, Changsheng You, Young Jin Chun
Abstract
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- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> 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.