Ergodic Performance Analysis of Intelligent Reflecting Surface Network with Phase Errors

In this paper, we investigate an application of the Intelligent Reflecting Surface (IRS). This technology has emerged as promising and low-cost technology for \(6\mathrm{G}\) networks improving wireless communications by collecting dispersed radio waves and redirecting them to the intended destination users. We characterize the achievable rate when multiple IRSs are utilized in the manner of Decode-and-Forward (DF) relaying. Our capacity performance analysis is based on the Rayleigh fading model with perfect Channel State Information (CSI) and we optimize the IRS configuration considering the ergodic capacity of the proposed scheme, derived by analyzing the statistics of CSI, which provides useful insights for practical design.