Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels

被引：82

作者：

Trinh Van Chien ^{[1
]}

Papazafeiropoulos, Anastasios K. ^{[1
,2
]}

Lam Thanh Tu ^{[3
]}

Chopra, Ribhu ^{[4
]}

Chatzinotas, Symeon ^{[1
]}

Ottersten, Bjorn ^{[1
]}

机构：

[1] Univ Luxembourg, SnT, L-1855 Luxembourg, Luxembourg

[2] Univ Hertfordshire, CIS Res Grp, Hatfield AL10 9AB, Herts, England

[3] Univ Poitiers, Inst XLIM, F-86000 Poitiers, France

[4] Indian Inst Technol Guwahati, Dept Elect & Elect Engn, Gauhati 781039, India

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 08期

关键词：

Probability; Power system reliability; Correlation; Rayleigh channels; Symmetric matrices; Covariance matrices; Random variables; Intelligent reflecting surface; outage probability; spatial correlation;

D O I：

10.1109/LWC.2021.3082409

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter investigates the impact of spatial channel correlation on the outage probability of intelligent reflecting surface (IRS)-assisted single-input single-output (SISO) communication systems. In particular, we derive a novel closed-form expression of the outage probability for arbitrary phase shifts and correlation matrices of the indirect channels. To shed light on the impact of the spatial correlation, we further attain the closed-form expressions for two common scenarios met in the literature when the large-scale fading coefficients are expressed by the loss over a propagation distance. Numerical results validate the tightness and effectiveness of the closed-form expressions. Furthermore, the spatial correlation offers significant decreases in the outage probability as the direct channel is blocked.

引用

页码：1815 / 1819

页数：5

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